Tea (including mate) — 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...
Countries reporting
192
Highest
5,921 t
China
Lowest
0 t
Tonga
Median
1.91 t
Years covered
14
2010–2023
Data points
3,041
What the numbers show
Tea (including mate) — Fat supply quantity (t) is currently reported for 192 countries. The highest value is 5,921 t in China; the lowest is 0 t in Tonga.
The median across all reporting countries is 1.91 t, and the mean is 129 t.
Over the past decade 67 countries rose and 109 fell. The largest increase was in Uganda (up 1,108,500.0%), and the largest decrease in Haiti (down 100.0%).
Tea (including mate) — Fat supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 5,921 t | 2023 | up 82.0% | rising |
| 2 | China, mainland | 5,843 t | 2023 | up 84.0% | rising |
| 3 | India | 2,190 t | 2023 | up 44.8% | rising |
| 4 | Argentina | 1,831 t | 2023 | up 316.1% | volatile |
| 5 | Turkey | 1,381 t | 2023 | up 271.3% | volatile |
| 5 | Türkiye | 1,381 t | 2023 | up 271.3% | volatile |
| 7 | Brazil | 1,256 t | 2023 | up 56.8% | rising |
| 8 | Kenya | 762.2 t | 2023 | up 611.2% | volatile |
| 9 | Vietnam | 465.55 t | 2023 | up 276.6% | volatile |
| 9 | Viet Nam | 465.55 t | 2023 | up 276.6% | volatile |
| 11 | Sri Lanka | 452.59 t | 2023 | down 20.0% | flat |
| 12 | Indonesia | 298.29 t | 2023 | up 109.6% | rising |
| 13 | Paraguay | 274.9 t | 2023 | up 95.5% | rising |
| 14 | Myanmar | 170.64 t | 2023 | up 12.6% | rising |
| 15 | Bangladesh | 155.45 t | 2023 | up 45.4% | rising |
| 16 | United States | 135.11 t | 2023 | down 44.5% | falling |
| 17 | Iran (Islamic Republic of) | 118.4 t | 2023 | down 47.1% | falling |
| 18 | Uganda | 110.86 t | 2023 | up 1,108,500.0% | volatile |
| 19 | Morocco | 100.73 t | 2023 | up 1.5% | rising |
| 20 | Pakistan | 93.47 t | 2023 | up 95.1% | rising |
| 21 | Thailand | 73.71 t | 2023 | up 135.3% | rising |
| 22 | Malawi | 72.49 t | 2023 | up 1,015.2% | volatile |
| 23 | Rwanda | 57.83 t | 2023 | — | volatile |
| 24 | China, Taiwan Province of | 55.01 t | 2023 | down 9.7% | falling |
| 25 | Saudi Arabia | 54.07 t | 2023 | down 3.6% | rising |
| 26 | Syria | 53.46 t | 2023 | down 17.5% | falling |
| 26 | Syrian Arab Republic | 53.46 t | 2023 | down 17.5% | falling |
| 28 | Uruguay | 53.35 t | 2023 | down 2.5% | flat |
| 29 | Nepal | 42.21 t | 2023 | up 201.1% | rising |
| 30 | Egypt | 40.17 t | 2023 | down 73.7% | falling |
| 31 | Russia | 40.03 t | 2023 | down 84.9% | falling |
| 31 | Russian Federation | 40.03 t | 2023 | down 84.9% | falling |
| 33 | United Republic of Tanzania | 39.32 t | 2023 | up 470.7% | volatile |
| 34 | United Kingdom | 33.89 t | 2023 | down 82.3% | falling |
| 34 | United Kingdom of Great Britain and Northern Ireland | 33.89 t | 2023 | down 82.3% | falling |
| 36 | Iraq | 31.68 t | 2023 | down 36.0% | rising |
| 37 | Libya | 29.56 t | 2023 | up 57.7% | rising |
| 38 | Mauritania | 27.38 t | 2023 | up 33.2% | rising |
| 39 | Afghanistan | 27.07 t | 2023 | down 80.8% | volatile |
| 40 | Azerbaijan | 23.74 t | 2023 | up 686.1% | volatile |
| 41 | France | 21.58 t | 2023 | down 21.4% | falling |
| 42 | China, Hong Kong SAR | 21.43 t | 2023 | up 32.6% | falling |
| 43 | Zimbabwe | 21.03 t | 2023 | — | volatile |
| 44 | Australia and New Zealand | 18.75 t | 2023 | down 31.8% | falling |
| 45 | Malaysia | 17.86 t | 2023 | down 62.5% | falling |
| 46 | Australia | 17.41 t | 2023 | down 23.9% | falling |
| 47 | Chile | 14.82 t | 2023 | down 66.1% | falling |
| 48 | Melanesia | 14.3 t | 2023 | up 165.8% | rising |
| 49 | Kazakhstan | 14 t | 2023 | down 71.7% | falling |
| 50 | Uzbekistan | 13.43 t | 2023 | down 65.8% | falling |
| 51 | Spain | 13.38 t | 2023 | up 75.6% | rising |
| 51 | Ethiopia | 13.38 t | 2023 | up 4.7% | falling |
| 53 | Papua New Guinea | 12.53 t | 2023 | up 209.4% | rising |
| 54 | Niger | 11.99 t | 2023 | up 8.4% | falling |
| 55 | Germany | 11.8 t | 2023 | down 84.8% | falling |
| 56 | Tunisia | 10.02 t | 2023 | down 9.4% | falling |
| 57 | Philippines | 9.96 t | 2023 | up 141.7% | rising |
| 58 | Cameroon | 9.11 t | 2023 | down 50.4% | falling |
| 59 | Guinea | 8.52 t | 2023 | up 44.9% | falling |
| 60 | Algeria | 8.49 t | 2023 | down 64.1% | falling |
| 61 | Yemen | 7.89 t | 2023 | — | volatile |
| 62 | Kyrgyzstan | 7.62 t | 2023 | up 27.6% | rising |
| 63 | South Africa | 6.89 t | 2023 | down 80.5% | falling |
| 64 | Sweden | 6.85 t | 2023 | up 18.1% | flat |
| 65 | Canada | 6.32 t | 2023 | down 76.6% | falling |
| 66 | Denmark | 6.2 t | 2023 | up 73.2% | rising |
| 67 | Qatar | 6.1 t | 2023 | — | falling |
| 68 | Poland | 5.58 t | 2023 | down 80.1% | volatile |
| 69 | Democratic Republic of the Congo | 5.56 t | 2023 | up 9.9% | rising |
| 70 | Portugal | 5.3 t | 2023 | up 142.0% | rising |
| 71 | Laos | 4.9 t | 2023 | up 163.4% | volatile |
| 71 | Lao People's Democratic Republic | 4.9 t | 2023 | up 163.4% | volatile |
| 73 | Ukraine | 4.89 t | 2023 | down 86.7% | volatile |
| 74 | Switzerland | 4.74 t | 2023 | up 32.8% | rising |
| 75 | Czechia | 4.16 t | 2023 | up 12.1% | rising |
| 76 | Ecuador | 3.97 t | 2023 | up 217.6% | volatile |
| 76 | Senegal | 3.97 t | 2023 | down 40.7% | falling |
| 78 | Mauritius | 3.84 t | 2023 | up 63.4% | rising |
| 79 | Ireland | 3.49 t | 2023 | down 70.2% | falling |
| 80 | Italy | 3.46 t | 2023 | down 71.9% | falling |
| 81 | Lebanon | 3.22 t | 2023 | down 53.1% | falling |
| 82 | Burkina Faso | 3.21 t | 2023 | down 59.4% | falling |
| 83 | Zambia | 3.19 t | 2023 | down 1.8% | rising |
| 84 | Botswana | 2.85 t | 2023 | down 0.3% | flat |
| 85 | Mongolia | 2.74 t | 2023 | down 34.1% | falling |
| 86 | Cambodia | 2.64 t | 2023 | up 842.9% | volatile |
| 87 | Bahrain | 2.48 t | 2023 | — | flat |
| 88 | Nigeria | 2.39 t | 2023 | up 55.2% | volatile |
| 89 | United Arab Emirates | 2.21 t | 2023 | down 87.2% | volatile |
| 90 | Jordan | 2.17 t | 2023 | down 75.6% | volatile |
| 91 | Greece | 2.14 t | 2023 | down 50.2% | volatile |
| 92 | Sierra Leone | 2.12 t | 2023 | up 241.9% | volatile |
| 93 | Kuwait | 2.11 t | 2023 | down 79.9% | volatile |
| 94 | Belgium | 1.97 t | 2023 | down 73.9% | falling |
| 94 | Tajikistan | 1.97 t | 2023 | down 75.0% | falling |
| 96 | Austria | 1.92 t | 2023 | down 52.4% | flat |
| 97 | Oman | 1.9 t | 2023 | down 74.7% | falling |
| 98 | Caribbean | 1.83 t | 2023 | down 10.3% | falling |
| 99 | Mozambique | 1.63 t | 2023 | down 82.0% | falling |
| 100 | Belarus | 1.61 t | 2023 | down 77.5% | falling |
| 101 | Republic of Korea | 1.58 t | 2023 | down 71.6% | falling |
| 102 | Finland | 1.55 t | 2023 | down 37.0% | falling |
| 103 | Maldives | 1.47 t | 2023 | up 162.5% | volatile |
| 103 | Netherlands (Kingdom of the) | 1.47 t | 2023 | down 94.4% | falling |
| 103 | China, Macao SAR | 1.47 t | 2023 | up 2.8% | rising |
| 106 | Bolivia (Plurinational State of) | 1.39 t | 2023 | down 65.8% | falling |
| 107 | Turkmenistan | 1.35 t | 2023 | down 74.9% | volatile |
| 108 | New Zealand | 1.34 t | 2023 | down 71.0% | falling |
| 109 | Cote d'Ivoire | 1.24 t | 2023 | down 56.5% | falling |
| 109 | Côte d'Ivoire | 1.24 t | 2023 | down 56.5% | falling |
| 111 | Georgia | 1.19 t | 2023 | down 68.5% | falling |
| 112 | Peru | 1.05 t | 2023 | down 86.3% | volatile |
| 113 | Namibia | 1.01 t | 2023 | down 51.4% | volatile |
| 114 | Slovakia | 0.96 t | 2023 | down 17.2% | falling |
| 115 | Fiji | 0.94 t | 2023 | down 6.0% | rising |
| 116 | Malta | 0.93 t | 2023 | down 26.8% | falling |
| 116 | Norway | 0.93 t | 2023 | down 58.5% | falling |
| 118 | Liberia | 0.89 t | 2023 | up 64.8% | rising |
| 119 | Barbados | 0.88 t | 2023 | up 120.0% | rising |
| 120 | Albania | 0.85 t | 2023 | up 254.2% | volatile |
| 120 | Colombia | 0.85 t | 2023 | down 49.7% | falling |
| 122 | Israel | 0.82 t | 2023 | down 60.4% | volatile |
| 123 | Gambia | 0.81 t | 2023 | down 45.6% | falling |
| 124 | Romania | 0.77 t | 2023 | down 60.9% | falling |
| 125 | Latvia | 0.76 t | 2023 | down 44.9% | falling |
| 126 | Gabon | 0.6 t | 2023 | up 50.0% | rising |
| 127 | Croatia | 0.57 t | 2023 | up 54.1% | rising |
| 128 | Bhutan | 0.54 t | 2023 | — | rising |
| 128 | Ghana | 0.54 t | 2023 | down 82.4% | volatile |
| 128 | Mexico | 0.54 t | 2023 | down 76.0% | volatile |
| 131 | Bulgaria | 0.52 t | 2023 | down 44.1% | falling |
| 132 | Suriname | 0.51 t | 2023 | down 21.5% | falling |
| 133 | Guatemala | 0.5 t | 2023 | down 71.4% | falling |
| 133 | Hungary | 0.5 t | 2023 | down 9.1% | volatile |
| 133 | Eswatini | 0.5 t | 2023 | down 55.8% | volatile |
| 136 | Costa Rica | 0.46 t | 2023 | down 31.3% | rising |
| 137 | Armenia | 0.44 t | 2023 | down 30.2% | falling |
| 138 | Solomon Islands | 0.4 t | 2023 | up 207.7% | volatile |
| 138 | El Salvador | 0.4 t | 2023 | down 60.8% | falling |
| 140 | Cyprus | 0.39 t | 2023 | down 45.1% | falling |
| 140 | Nicaragua | 0.39 t | 2023 | up 44.4% | flat |
| 142 | Venezuela (Bolivarian Republic of) | 0.38 t | 2023 | down 80.7% | volatile |
| 143 | Moldova | 0.35 t | 2023 | unchanged | flat |
| 143 | Trinidad and Tobago | 0.35 t | 2023 | down 22.2% | rising |
| 143 | Republic of Moldova | 0.35 t | 2023 | unchanged | flat |
| 146 | North Macedonia | 0.33 t | 2023 | down 59.8% | falling |
| 147 | Slovenia | 0.31 t | 2023 | down 6.1% | falling |
| 148 | Lithuania | 0.3 t | 2023 | down 80.1% | falling |
| 149 | Congo | 0.29 t | 2023 | down 38.3% | falling |
| 149 | Panama | 0.29 t | 2023 | down 78.4% | volatile |
| 151 | Vanuatu | 0.27 t | 2023 | up 1,250.0% | volatile |
| 152 | Iceland | 0.26 t | 2023 | up 62.5% | rising |
| 153 | Dominican Republic | 0.23 t | 2023 | up 64.3% | volatile |
| 154 | Bahamas | 0.21 t | 2023 | down 73.1% | volatile |
| 154 | Honduras | 0.21 t | 2023 | down 30.0% | falling |
| 154 | Lesotho | 0.21 t | 2023 | down 61.1% | volatile |
| 154 | Montenegro | 0.21 t | 2023 | up 10.5% | flat |
| 158 | Polynesia | 0.2 t | 2023 | up 17.6% | rising |
| 159 | Madagascar | 0.17 t | 2023 | down 62.2% | falling |
| 159 | New Caledonia | 0.17 t | 2023 | down 5.6% | falling |
| 161 | Bosnia and Herzegovina | 0.16 t | 2023 | up 14.3% | rising |
| 162 | Luxembourg | 0.15 t | 2023 | down 69.4% | falling |
| 162 | Samoa | 0.15 t | 2023 | up 25.0% | rising |
| 164 | Angola | 0.14 t | 2023 | down 86.3% | falling |
| 165 | Guyana | 0.13 t | 2023 | down 69.0% | volatile |
| 166 | Estonia | 0.12 t | 2023 | down 86.0% | falling |
| 167 | Belize | 0.06 t | 2023 | down 45.5% | volatile |
| 167 | East Timor | 0.06 t | 2023 | down 71.4% | volatile |
| 167 | Micronesia | 0.06 t | 2023 | up 20.0% | volatile |
| 167 | Timor-Leste | 0.06 t | 2023 | down 71.4% | volatile |
| 171 | Antigua and Barbuda | 0.05 t | 2023 | down 54.5% | volatile |
| 171 | Seychelles | 0.05 t | 2023 | up 25.0% | rising |
| 173 | Guinea-Bissau | 0.04 t | 2023 | — | volatile |
| 174 | Cuba | 0.03 t | 2019 | up 50.0% | volatile |
| 174 | Grenada | 0.03 t | 2023 | up 200.0% | volatile |
| 174 | Marshall Islands | 0.03 t | 2023 | — | volatile |
| 174 | French Polynesia | 0.03 t | 2023 | down 40.0% | falling |
| 174 | Democratic People's Republic of Korea | 0.03 t | 2018 | — | volatile |
| 179 | Saint Kitts and Nevis | 0.02 t | 2023 | up 100.0% | volatile |
| 179 | Saint Lucia | 0.02 t | 2023 | down 60.0% | volatile |
| 179 | Serbia | 0.02 t | 2023 | down 77.8% | volatile |
| 179 | Cabo Verde | 0.02 t | 2023 | down 60.0% | volatile |
| 183 | Djibouti | 0.01 t | 2023 | down 98.0% | volatile |
| 183 | Kiribati | 0.01 t | 2023 | down 80.0% | volatile |
| 183 | Tuvalu | 0.01 t | 2023 | — | volatile |
| 183 | Saint Vincent and the Grenadines | 0.01 t | 2023 | down 75.0% | volatile |
| 183 | Micronesia (Federated States of) | 0.01 t | 2023 | — | falling |
| 188 | Comoros | 0 t | 2023 | — | volatile |
| 188 | Haiti | 0 t | 2023 | down 100.0% | volatile |
| 188 | Jamaica | 0 t | 2022 | — | volatile |
| 188 | Sao Tome and Principe | 0 t | 2023 | down 100.0% | volatile |
| 188 | Tonga | 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 17,017 t
- Asia 11,807 t
- Eastern Asia 6,069 t
- Americas 3,585 t
- South America 3,439 t
- Southern Asia 3,082 t
- Net Food Importing Developing Countries (NFIDCs) 2,296 t
- Western Asia 1,575 t
- Africa 1,407 t
- Low Income Food Deficit Countries (LIFDCs) 1,349 t
- Eastern Africa 1,104 t
- South-Eastern Asia 1,044 t
- Least Developed Countries (LDCs) 816.48 t
- Land Locked Developing Countries (LLDCs) 745.67 t
- Northern Africa 195.75 t
- Europe 184.98 t
- Northern America 141.43 t
- United States of America 135.11 t
- European Union (27) 97.11 t
- Western Africa 72.18 t
- Eastern Europe 59.38 t
- Northern Europe 54.33 t
- Western Europe 43.62 t
- Central Asia 38.37 t
- Oceania 33.31 t
- Southern Europe 27.65 t
- Middle Africa 23.36 t
- Small island developing States (SIDS) 22.57 t
- Southern Africa 11.45 t
- Central America 2.84 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.