Tea (including mate) — Domestic supply quantity 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
182
Highest
15,631 1000 t
China
Lowest
-35 1000 t
Spain
Median
2 1000 t
Years covered
14
2010–2023
Data points
2,897
What the numbers show
Tea (including mate) — Domestic supply quantity is currently reported for 182 countries. The highest value is 15,631 1000 t in China; the lowest is -35 1000 t in Spain.
The median across all reporting countries is 2 1000 t, and the mean is 269.03 1000 t.
The gap between the highest and lowest reporting country is a factor of about 447.
Over the past decade 51 countries rose and 44 fell. The largest increase was in Uganda (up 31,400.0%), and the largest decrease in Spain (down 775.0%).
Tea (including mate) — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 15,631 1000 t | 2023 | up 83.7% | rising |
| 2 | China, mainland | 15,572 1000 t | 2023 | up 84.0% | rising |
| 3 | India | 5,818 1000 t | 2023 | up 531.0% | volatile |
| 4 | Kenya | 1,992 1000 t | 2023 | up 2,216.3% | volatile |
| 5 | Türkiye | 1,760 1000 t | 2023 | up 661.9% | volatile |
| 6 | Argentina | 1,259 1000 t | 2023 | up 366.3% | volatile |
| 7 | Sri Lanka | 1,199 1000 t | 2023 | down 20.0% | falling |
| 8 | Viet Nam | 1,081 1000 t | 2023 | up 1,142.5% | volatile |
| 9 | Brazil | 700 1000 t | 2023 | up 42.3% | rising |
| 10 | Indonesia | 622 1000 t | 2023 | up 561.7% | volatile |
| 11 | Bangladesh | 426 1000 t | 2023 | up 526.5% | volatile |
| 12 | Uganda | 313 1000 t | 2023 | up 31,400.0% | volatile |
| 13 | Pakistan | 241 1000 t | 2023 | up 95.9% | rising |
| 14 | Malawi | 201 1000 t | 2023 | up 3,250.0% | volatile |
| 15 | Myanmar | 186 1000 t | 2023 | up 91.8% | rising |
| 16 | Paraguay | 152 1000 t | 2023 | up 76.7% | rising |
| 17 | Rwanda | 148 1000 t | 2023 | — | volatile |
| 18 | Nepal | 115 1000 t | 2023 | up 1,050.0% | volatile |
| 19 | Iran (Islamic Republic of) | 112 1000 t | 2023 | down 20.6% | rising |
| 20 | United Republic of Tanzania | 107 1000 t | 2023 | up 1,683.3% | volatile |
| 21 | Russian Federation | 100 1000 t | 2023 | down 38.3% | falling |
| 22 | Egypt | 87 1000 t | 2023 | down 6.5% | falling |
| 23 | United Kingdom of Great Britain and Northern Ireland | 84 1000 t | 2023 | down 27.6% | falling |
| 24 | Iraq | 81 1000 t | 2023 | up 170.0% | rising |
| 24 | Thailand | 81 1000 t | 2023 | up 84.1% | rising |
| 26 | Morocco | 61 1000 t | 2023 | up 1.7% | rising |
| 27 | Zimbabwe | 53 1000 t | 2023 | — | volatile |
| 28 | Malaysia | 39 1000 t | 2023 | up 56.0% | flat |
| 29 | Ethiopia | 37 1000 t | 2023 | up 362.5% | volatile |
| 30 | Syrian Arab Republic | 35 1000 t | 2023 | down 7.9% | falling |
| 31 | Saudi Arabia | 34 1000 t | 2023 | unchanged | rising |
| 31 | Uzbekistan | 34 1000 t | 2023 | up 41.7% | rising |
| 31 | China, Taiwan Province of | 34 1000 t | 2023 | down 10.5% | falling |
| 34 | Melanesia | 33 1000 t | 2023 | up 725.0% | volatile |
| 35 | Kazakhstan | 32 1000 t | 2023 | up 6.7% | flat |
| 35 | Papua New Guinea | 32 1000 t | 2023 | up 966.7% | volatile |
| 37 | Uruguay | 30 1000 t | 2023 | unchanged | flat |
| 38 | Germany | 27 1000 t | 2023 | down 54.2% | falling |
| 39 | China, Hong Kong SAR | 25 1000 t | 2023 | up 127.3% | rising |
| 40 | Cameroon | 24 1000 t | 2023 | up 118.2% | volatile |
| 41 | Chile | 21 1000 t | 2023 | down 4.5% | rising |
| 41 | Algeria | 21 1000 t | 2023 | up 50.0% | rising |
| 43 | Yemen | 20 1000 t | 2023 | up 42.9% | rising |
| 44 | Libya | 18 1000 t | 2023 | up 63.6% | rising |
| 45 | Mauritania | 17 1000 t | 2023 | up 41.7% | rising |
| 46 | Afghanistan | 16 1000 t | 2023 | down 81.2% | volatile |
| 47 | United Arab Emirates | 15 1000 t | 2023 | down 51.6% | volatile |
| 47 | Lao People's Democratic Republic | 15 1000 t | 2023 | up 200.0% | volatile |
| 49 | Azerbaijan | 14 1000 t | 2023 | up 600.0% | volatile |
| 49 | France | 14 1000 t | 2023 | down 17.6% | falling |
| 51 | Australia and New Zealand | 13 1000 t | 2023 | down 27.8% | falling |
| 52 | Ukraine | 12 1000 t | 2023 | down 45.5% | falling |
| 53 | Australia | 11 1000 t | 2023 | down 26.7% | falling |
| 54 | Ecuador | 10 1000 t | 2023 | up 900.0% | volatile |
| 54 | Kyrgyzstan | 10 1000 t | 2023 | up 150.0% | rising |
| 54 | Poland | 10 1000 t | 2023 | down 44.4% | falling |
| 54 | Senegal | 10 1000 t | 2023 | up 150.0% | rising |
| 58 | Ireland | 8 1000 t | 2023 | up 100.0% | rising |
| 59 | Burkina Faso | 7 1000 t | 2023 | up 40.0% | rising |
| 59 | Italy | 7 1000 t | 2023 | down 12.5% | falling |
| 59 | Mauritius | 7 1000 t | 2023 | up 250.0% | volatile |
| 59 | Niger | 7 1000 t | 2023 | unchanged | falling |
| 59 | Philippines | 7 1000 t | 2023 | up 133.3% | rising |
| 64 | Nigeria | 6 1000 t | 2023 | up 500.0% | volatile |
| 64 | Tunisia | 6 1000 t | 2023 | down 14.3% | falling |
| 66 | Denmark | 5 1000 t | 2023 | up 66.7% | rising |
| 66 | Guinea | 5 1000 t | 2023 | up 25.0% | falling |
| 66 | Mozambique | 5 1000 t | 2023 | down 80.0% | falling |
| 66 | Portugal | 5 1000 t | 2023 | up 400.0% | rising |
| 66 | Sierra Leone | 5 1000 t | 2023 | — | volatile |
| 66 | Tajikistan | 5 1000 t | 2023 | unchanged | flat |
| 72 | Belarus | 4 1000 t | 2023 | unchanged | rising |
| 72 | Kuwait | 4 1000 t | 2023 | down 42.9% | falling |
| 72 | Lebanon | 4 1000 t | 2023 | unchanged | flat |
| 72 | Oman | 4 1000 t | 2023 | down 20.0% | rising |
| 72 | Qatar | 4 1000 t | 2023 | — | falling |
| 72 | Sweden | 4 1000 t | 2023 | unchanged | flat |
| 72 | Democratic Republic of the Congo | 4 1000 t | 2023 | up 33.3% | rising |
| 79 | Austria | 3 1000 t | 2023 | unchanged | rising |
| 79 | Belgium | 3 1000 t | 2023 | down 40.0% | volatile |
| 79 | Switzerland | 3 1000 t | 2023 | up 250.0% | volatile |
| 79 | Czechia | 3 1000 t | 2023 | up 50.0% | rising |
| 79 | Georgia | 3 1000 t | 2023 | up 50.0% | rising |
| 79 | Greece | 3 1000 t | 2023 | down 25.0% | volatile |
| 79 | Jordan | 3 1000 t | 2023 | down 40.0% | falling |
| 79 | Turkmenistan | 3 1000 t | 2023 | unchanged | falling |
| 79 | Côte d'Ivoire | 3 1000 t | 2023 | up 50.0% | volatile |
| 88 | Albania | 2 1000 t | 2023 | — | volatile |
| 88 | Bahrain | 2 1000 t | 2023 | — | flat |
| 88 | Botswana | 2 1000 t | 2023 | unchanged | flat |
| 88 | Gambia | 2 1000 t | 2023 | down 50.0% | falling |
| 88 | Cambodia | 2 1000 t | 2023 | — | volatile |
| 88 | Mongolia | 2 1000 t | 2023 | down 33.3% | falling |
| 88 | New Zealand | 2 1000 t | 2023 | down 33.3% | flat |
| 88 | Peru | 2 1000 t | 2023 | down 60.0% | falling |
| 88 | Zambia | 2 1000 t | 2023 | unchanged | rising |
| 88 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | down 33.3% | falling |
| 98 | Armenia | 1 1000 t | 2023 | — | volatile |
| 98 | Bulgaria | 1 1000 t | 2023 | unchanged | flat |
| 98 | Barbados | 1 1000 t | 2023 | — | volatile |
| 98 | Congo | 1 1000 t | 2023 | — | volatile |
| 98 | Colombia | 1 1000 t | 2023 | unchanged | falling |
| 98 | Costa Rica | 1 1000 t | 2023 | unchanged | volatile |
| 98 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 98 | Finland | 1 1000 t | 2023 | down 50.0% | falling |
| 98 | Fiji | 1 1000 t | 2023 | unchanged | flat |
| 98 | Ghana | 1 1000 t | 2023 | down 50.0% | volatile |
| 98 | Guatemala | 1 1000 t | 2023 | unchanged | volatile |
| 98 | Israel | 1 1000 t | 2023 | unchanged | falling |
| 98 | Liberia | 1 1000 t | 2023 | — | volatile |
| 98 | Lesotho | 1 1000 t | 2023 | — | volatile |
| 98 | Lithuania | 1 1000 t | 2023 | unchanged | flat |
| 98 | Maldives | 1 1000 t | 2023 | — | volatile |
| 98 | Malta | 1 1000 t | 2023 | unchanged | volatile |
| 98 | Namibia | 1 1000 t | 2023 | unchanged | rising |
| 98 | Norway | 1 1000 t | 2023 | down 50.0% | falling |
| 98 | Panama | 1 1000 t | 2023 | unchanged | volatile |
| 98 | Romania | 1 1000 t | 2023 | down 50.0% | falling |
| 98 | Solomon Islands | 1 1000 t | 2023 | — | volatile |
| 98 | El Salvador | 1 1000 t | 2023 | unchanged | flat |
| 98 | Slovakia | 1 1000 t | 2023 | unchanged | falling |
| 98 | Eswatini | 1 1000 t | 2023 | unchanged | volatile |
| 98 | Caribbean | 1 1000 t | 2023 | unchanged | rising |
| 98 | Republic of Korea | 1 1000 t | 2023 | down 66.7% | falling |
| 98 | Republic of Moldova | 1 1000 t | 2023 | unchanged | flat |
| 98 | China, Macao SAR | 1 1000 t | 2023 | unchanged | flat |
| 127 | Angola | 0 1000 t | 2023 | down 100.0% | falling |
| 127 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 127 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 127 | Belize | 0 1000 t | 2023 | — | flat |
| 127 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 127 | Comoros | 0 1000 t | 2023 | — | flat |
| 127 | Cuba | 0 1000 t | 2019 | — | flat |
| 127 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 127 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Gabon | 0 1000 t | 2023 | — | flat |
| 127 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Grenada | 0 1000 t | 2023 | — | flat |
| 127 | Guyana | 0 1000 t | 2023 | — | flat |
| 127 | Honduras | 0 1000 t | 2023 | — | volatile |
| 127 | Croatia | 0 1000 t | 2023 | — | flat |
| 127 | Haiti | 0 1000 t | 2023 | — | flat |
| 127 | Hungary | 0 1000 t | 2023 | — | volatile |
| 127 | Iceland | 0 1000 t | 2023 | — | flat |
| 127 | Jamaica | 0 1000 t | 2023 | — | flat |
| 127 | Kiribati | 0 1000 t | 2023 | — | flat |
| 127 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 127 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 127 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 127 | Latvia | 0 1000 t | 2023 | down 100.0% | falling |
| 127 | Madagascar | 0 1000 t | 2023 | — | flat |
| 127 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 127 | North Macedonia | 0 1000 t | 2023 | down 100.0% | falling |
| 127 | Montenegro | 0 1000 t | 2023 | — | flat |
| 127 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 127 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 127 | Nauru | 0 1000 t | 2023 | — | flat |
| 127 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 127 | Serbia | 0 1000 t | 2023 | — | volatile |
| 127 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 127 | Suriname | 0 1000 t | 2023 | — | flat |
| 127 | Slovenia | 0 1000 t | 2023 | — | flat |
| 127 | Seychelles | 0 1000 t | 2023 | — | flat |
| 127 | Tonga | 0 1000 t | 2023 | — | flat |
| 127 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 127 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 127 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 127 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 127 | Samoa | 0 1000 t | 2023 | — | flat |
| 127 | Micronesia | 0 1000 t | 2023 | — | flat |
| 127 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 127 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 127 | Polynesia | 0 1000 t | 2023 | — | flat |
| 127 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 127 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 127 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 179 | Netherlands (Kingdom of the) | -1 1000 t | 2023 | down 105.6% | falling |
| 180 | Mexico | -10 1000 t | 2023 | — | volatile |
| 181 | Canada | -25 1000 t | 2023 | up 26.5% | rising |
| 182 | Spain | -35 1000 t | 2023 | down 775.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 33,891 1000 t
- Asia 27,993 1000 t
- Eastern Asia 15,958 1000 t
- Southern Asia 7,928 1000 t
- Net Food Importing Developing Countries (NFIDCs) 5,351 1000 t
- Low Income Food Deficit Countries (LIFDCs) 3,262 1000 t
- Africa 3,261 1000 t
- Eastern Africa 2,917 1000 t
- Americas 2,321 1000 t
- South America 2,178 1000 t
- South-eastern Asia 2,034 1000 t
- Western Asia 1,987 1000 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.