Cloves — 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
Cloves — Fat supply quantity (t) is currently reported for 172 countries. The highest value is 1,900 t in India; the lowest is 0 t in Timor-Leste.
The median across all reporting countries is 2.29 t, and the mean is 31.26 t.
Over the past decade 91 countries rose and 43 fell. The largest increase was in Afghanistan (up 134,000.0%), and the largest decrease in United Arab Emirates (down 100.0%).
Cloves — Fat supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 1,900 t | 2023 | up 91.9% | rising |
| 2 | Indonesia | 435.42 t | 2023 | down 6.5% | falling |
| 3 | United Republic of Tanzania | 289.39 t | 2023 | down 7.1% | falling |
| 4 | China | 286.53 t | 2023 | up 130.0% | rising |
| 5 | China, mainland | 271.67 t | 2023 | up 148.8% | volatile |
| 6 | Comoros | 190.85 t | 2023 | up 1,429.2% | volatile |
| 7 | Saudi Arabia | 183.17 t | 2023 | up 49.7% | rising |
| 8 | Bangladesh | 152.33 t | 2023 | up 234.1% | rising |
| 9 | Kenya | 144.8 t | 2023 | up 1.5% | rising |
| 10 | Pakistan | 134.19 t | 2023 | up 31.5% | rising |
| 11 | Iraq | 105.53 t | 2023 | up 20,194.2% | volatile |
| 12 | Malaysia | 67.04 t | 2023 | up 0.1% | volatile |
| 13 | Caribbean | 65.17 t | 2023 | up 43.2% | rising |
| 14 | Peru | 62.82 t | 2023 | up 72.1% | rising |
| 15 | Iran (Islamic Republic of) | 55.6 t | 2023 | up 643.3% | volatile |
| 16 | Viet Nam | 52.74 t | 2023 | down 71.3% | volatile |
| 17 | Nigeria | 45.55 t | 2023 | up 85.3% | rising |
| 18 | Syrian Arab Republic | 44.16 t | 2023 | up 354.3% | volatile |
| 19 | Germany | 42.68 t | 2023 | up 3.8% | rising |
| 20 | United Kingdom of Great Britain and Northern Ireland | 40.93 t | 2023 | up 18.3% | rising |
| 21 | Türkiye | 36.43 t | 2023 | up 130.9% | rising |
| 22 | Dominican Republic | 36.19 t | 2023 | up 59.4% | rising |
| 23 | Senegal | 35.22 t | 2023 | up 1,835.2% | volatile |
| 24 | Ethiopia | 34.92 t | 2023 | up 37.9% | rising |
| 25 | Yemen | 34.57 t | 2023 | up 356.7% | volatile |
| 26 | Mexico | 28.02 t | 2023 | down 34.3% | rising |
| 27 | Egypt | 25.28 t | 2023 | down 73.5% | falling |
| 28 | Poland | 23.97 t | 2023 | up 162.5% | rising |
| 29 | Canada | 23.85 t | 2023 | up 31.8% | rising |
| 30 | Nepal | 22.78 t | 2023 | up 34.6% | rising |
| 31 | Netherlands (Kingdom of the) | 19.77 t | 2023 | down 61.1% | volatile |
| 32 | Italy | 19.6 t | 2023 | up 122.0% | rising |
| 33 | Russian Federation | 19.3 t | 2023 | down 27.9% | flat |
| 34 | Chile | 18.9 t | 2023 | up 563.2% | volatile |
| 35 | Kuwait | 18.81 t | 2023 | up 50.7% | volatile |
| 36 | Haiti | 18.02 t | 2023 | up 6,830.8% | volatile |
| 37 | Qatar | 17.71 t | 2023 | — | rising |
| 38 | France | 16.38 t | 2023 | down 16.0% | flat |
| 39 | Australia and New Zealand | 15.46 t | 2023 | down 38.7% | flat |
| 40 | Oman | 15.34 t | 2023 | up 148.2% | volatile |
| 41 | Libya | 14.73 t | 2023 | up 1,741.2% | volatile |
| 42 | Morocco | 14.49 t | 2023 | up 1,306.8% | volatile |
| 43 | China, Taiwan Province of | 13.93 t | 2023 | up 2.1% | falling |
| 44 | Afghanistan | 13.41 t | 2023 | up 134,000.0% | volatile |
| 45 | Australia | 13.1 t | 2023 | down 35.0% | rising |
| 46 | Colombia | 12.48 t | 2023 | down 7.7% | rising |
| 47 | Algeria | 12.06 t | 2023 | down 10.0% | volatile |
| 48 | Lebanon | 10.95 t | 2023 | up 98.4% | rising |
| 49 | Ghana | 10.01 t | 2023 | up 376.7% | volatile |
| 50 | Thailand | 9.06 t | 2023 | up 14.0% | rising |
| 51 | Djibouti | 8.86 t | 2023 | up 3,064.3% | volatile |
| 52 | Sweden | 8.49 t | 2023 | down 2.9% | falling |
| 53 | Bolivia (Plurinational State of) | 7.7 t | 2023 | up 94.0% | volatile |
| 54 | Jordan | 7.65 t | 2023 | up 36.4% | volatile |
| 55 | Myanmar | 7.56 t | 2023 | up 46.8% | volatile |
| 56 | Republic of Korea | 7.42 t | 2023 | up 9.3% | rising |
| 57 | Maldives | 7.25 t | 2023 | up 380.1% | volatile |
| 58 | Bahrain | 5.93 t | 2023 | — | falling |
| 59 | Austria | 5.84 t | 2023 | up 35.2% | rising |
| 60 | Argentina | 5.24 t | 2023 | up 40.5% | rising |
| 61 | Venezuela (Bolivarian Republic of) | 5.2 t | 2023 | down 5.8% | volatile |
| 62 | Tunisia | 5.08 t | 2023 | up 9.5% | volatile |
| 63 | Spain | 4.55 t | 2023 | down 33.2% | rising |
| 64 | Ukraine | 4.37 t | 2023 | down 9.0% | flat |
| 65 | Greece | 4.36 t | 2023 | down 29.2% | rising |
| 66 | Belgium | 4.13 t | 2023 | — | volatile |
| 67 | Hungary | 3.97 t | 2023 | up 16.8% | rising |
| 68 | Mauritius | 3.9 t | 2023 | up 57.9% | rising |
| 69 | Trinidad and Tobago | 3.8 t | 2023 | up 357.8% | volatile |
| 70 | Ecuador | 3.75 t | 2023 | down 42.6% | rising |
| 71 | Grenada | 3.66 t | 2023 | down 39.9% | falling |
| 72 | Melanesia | 3.61 t | 2023 | up 93.0% | rising |
| 73 | Fiji | 3.57 t | 2023 | up 90.9% | rising |
| 74 | Czechia | 3.48 t | 2023 | down 5.4% | rising |
| 75 | Romania | 3.4 t | 2023 | down 71.1% | volatile |
| 76 | Switzerland | 3.14 t | 2023 | up 10.2% | rising |
| 77 | Congo | 2.86 t | 2023 | up 3,985.7% | volatile |
| 78 | Denmark | 2.82 t | 2023 | down 7.8% | rising |
| 79 | Kazakhstan | 2.8 t | 2023 | up 344.4% | volatile |
| 80 | Uzbekistan | 2.59 t | 2023 | up 184.6% | volatile |
| 81 | Mauritania | 2.48 t | 2023 | — | volatile |
| 82 | Guinea | 2.43 t | 2023 | up 1,250.0% | volatile |
| 83 | Sri Lanka | 2.41 t | 2023 | up 1,753.8% | volatile |
| 84 | New Zealand | 2.36 t | 2023 | down 53.5% | falling |
| 85 | Ireland | 2.34 t | 2023 | up 41.0% | rising |
| 86 | Panama | 2.3 t | 2023 | up 29.9% | rising |
| 87 | Honduras | 2.29 t | 2023 | up 377.1% | volatile |
| 88 | Costa Rica | 2.26 t | 2023 | up 119.4% | rising |
| 89 | El Salvador | 1.92 t | 2023 | up 562.1% | volatile |
| 90 | Norway | 1.89 t | 2023 | up 195.3% | volatile |
| 91 | Guyana | 1.88 t | 2023 | up 21.3% | rising |
| 92 | Finland | 1.86 t | 2023 | up 29.2% | rising |
| 93 | Slovakia | 1.68 t | 2023 | up 63.1% | rising |
| 94 | Bulgaria | 1.54 t | 2023 | up 250.0% | volatile |
| 95 | Nicaragua | 1.48 t | 2023 | up 60.9% | volatile |
| 96 | Portugal | 1.44 t | 2023 | up 53.2% | rising |
| 97 | Israel | 1.39 t | 2023 | down 36.8% | volatile |
| 98 | Jamaica | 1.08 t | 2023 | up 86.2% | rising |
| 99 | Georgia | 1.01 t | 2023 | up 2,425.0% | volatile |
| 100 | Cyprus | 1 t | 2023 | up 108.3% | rising |
| 101 | Barbados | 0.96 t | 2023 | down 48.9% | falling |
| 102 | China, Hong Kong SAR | 0.91 t | 2023 | down 48.0% | volatile |
| 103 | Kyrgyzstan | 0.87 t | 2023 | up 4,250.0% | volatile |
| 104 | Gabon | 0.84 t | 2023 | — | volatile |
| 105 | Democratic Republic of the Congo | 0.83 t | 2023 | up 1,560.0% | volatile |
| 106 | Seychelles | 0.81 t | 2023 | — | volatile |
| 107 | Croatia | 0.8 t | 2023 | up 116.2% | rising |
| 108 | Latvia | 0.78 t | 2023 | up 69.6% | rising |
| 109 | Liberia | 0.76 t | 2023 | up 7,500.0% | volatile |
| 110 | Antigua and Barbuda | 0.75 t | 2023 | up 177.8% | volatile |
| 111 | Lithuania | 0.68 t | 2023 | up 6.2% | rising |
| 112 | Cameroon | 0.63 t | 2023 | unchanged | volatile |
| 113 | Serbia | 0.62 t | 2023 | down 3.1% | rising |
| 114 | Zimbabwe | 0.6 t | 2023 | up 100.0% | rising |
| 115 | Côte d'Ivoire | 0.58 t | 2023 | unchanged | falling |
| 116 | Slovenia | 0.51 t | 2023 | up 10.9% | falling |
| 117 | Bosnia and Herzegovina | 0.41 t | 2023 | up 70.8% | rising |
| 117 | Estonia | 0.41 t | 2023 | up 46.4% | rising |
| 119 | Bhutan | 0.36 t | 2023 | — | volatile |
| 119 | Uganda | 0.36 t | 2023 | — | volatile |
| 121 | Angola | 0.34 t | 2023 | — | volatile |
| 122 | Namibia | 0.31 t | 2023 | up 244.4% | volatile |
| 123 | Bahamas | 0.29 t | 2023 | down 6.5% | volatile |
| 124 | Uruguay | 0.28 t | 2023 | down 76.3% | volatile |
| 125 | Belarus | 0.26 t | 2023 | down 76.1% | falling |
| 126 | Philippines | 0.24 t | 2023 | down 27.3% | flat |
| 127 | Lesotho | 0.23 t | 2023 | up 2,200.0% | volatile |
| 128 | Malta | 0.21 t | 2023 | up 162.5% | volatile |
| 129 | Republic of Moldova | 0.19 t | 2023 | — | volatile |
| 130 | North Macedonia | 0.17 t | 2023 | up 88.9% | rising |
| 131 | Iceland | 0.15 t | 2023 | down 34.8% | falling |
| 132 | Saint Lucia | 0.14 t | 2023 | down 12.5% | volatile |
| 133 | Eswatini | 0.13 t | 2023 | — | volatile |
| 134 | Botswana | 0.12 t | 2023 | up 300.0% | volatile |
| 134 | Luxembourg | 0.12 t | 2023 | up 33.3% | rising |
| 136 | Niger | 0.1 t | 2023 | — | volatile |
| 137 | Montenegro | 0.07 t | 2023 | up 250.0% | rising |
| 137 | Mozambique | 0.07 t | 2023 | down 22.2% | volatile |
| 139 | Suriname | 0.06 t | 2023 | — | volatile |
| 140 | Cuba | 0.04 t | 2019 | — | volatile |
| 140 | Rwanda | 0.04 t | 2023 | up 33.3% | volatile |
| 140 | Polynesia | 0.04 t | 2023 | — | volatile |
| 143 | Paraguay | 0.03 t | 2023 | — | volatile |
| 143 | Micronesia | 0.03 t | 2023 | — | volatile |
| 145 | Marshall Islands | 0.02 t | 2023 | — | volatile |
| 145 | Papua New Guinea | 0.02 t | 2023 | — | volatile |
| 145 | Saint Vincent and the Grenadines | 0.02 t | 2023 | down 71.4% | volatile |
| 145 | Samoa | 0.02 t | 2023 | down 75.0% | volatile |
| 145 | Cabo Verde | 0.02 t | 2023 | down 50.0% | volatile |
| 145 | China, Macao SAR | 0.02 t | 2023 | — | volatile |
| 151 | Guinea-Bissau | 0.01 t | 2023 | — | volatile |
| 151 | Cambodia | 0.01 t | 2023 | — | volatile |
| 151 | Malawi | 0.01 t | 2023 | — | volatile |
| 151 | New Caledonia | 0.01 t | 2023 | — | volatile |
| 151 | Sao Tome and Principe | 0.01 t | 2023 | — | volatile |
| 151 | Tonga | 0.01 t | 2023 | — | flat |
| 151 | Vanuatu | 0.01 t | 2023 | unchanged | rising |
| 158 | United Arab Emirates | 0 t | 2023 | down 100.0% | volatile |
| 158 | Burkina Faso | 0 t | 2023 | — | volatile |
| 158 | Belize | 0 t | 2023 | — | volatile |
| 158 | Brazil | 0 t | 2023 | — | flat |
| 158 | Guatemala | 0 t | 2023 | down 100.0% | volatile |
| 158 | Kiribati | 0 t | 2023 | — | volatile |
| 158 | Saint Kitts and Nevis | 0 t | 2023 | — | volatile |
| 158 | Madagascar | 0 t | 2023 | down 100.0% | volatile |
| 158 | Mongolia | 0 t | 2023 | down 100.0% | volatile |
| 158 | Nauru | 0 t | 2023 | — | volatile |
| 158 | French Polynesia | 0 t | 2023 | — | volatile |
| 158 | Solomon Islands | 0 t | 2023 | — | volatile |
| 158 | Tajikistan | 0 t | 2023 | — | volatile |
| 158 | Turkmenistan | 0 t | 2023 | down 100.0% | volatile |
| 158 | Timor-Leste | 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 5,298 t
- Asia 3,679 t
- Southern Asia 2,288 t
- Net Food Importing Developing Countries (NFIDCs) 1,347 t
- Africa 944.44 t
- Low Income Food Deficit Countries (LIFDCs) 909.43 t
- Least Developed Countries (LDCs) 880.54 t
- Eastern Africa 698.52 t
- South-eastern Asia 572.05 t
- Western Asia 483.67 t
- Americas 407.84 t
- Eastern Asia 328.68 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.