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...
What the numbers show
Tea (including mate) — Domestic supply quantity is currently reported for 156 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 5 1000 t, and the mean is 334.82 1000 t.
The gap between the highest and lowest reporting country is a factor of about 447.
Over the past decade 56 countries rose and 48 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 | Turkey | 1,760 1000 t | 2023 | up 661.9% | volatile |
| 5 | Türkiye | 1,760 1000 t | 2023 | up 661.9% | volatile |
| 7 | Argentina | 1,259 1000 t | 2023 | up 366.3% | volatile |
| 8 | Sri Lanka | 1,199 1000 t | 2023 | down 20.0% | falling |
| 9 | Vietnam | 1,081 1000 t | 2023 | up 1,142.5% | volatile |
| 9 | Viet Nam | 1,081 1000 t | 2023 | up 1,142.5% | volatile |
| 11 | Brazil | 700 1000 t | 2023 | up 42.3% | rising |
| 12 | Indonesia | 622 1000 t | 2023 | up 561.7% | volatile |
| 13 | Bangladesh | 426 1000 t | 2023 | up 526.5% | volatile |
| 14 | Uganda | 313 1000 t | 2023 | up 31,400.0% | volatile |
| 15 | Pakistan | 241 1000 t | 2023 | up 95.9% | rising |
| 16 | Malawi | 201 1000 t | 2023 | up 3,250.0% | volatile |
| 17 | Myanmar | 186 1000 t | 2023 | up 91.8% | rising |
| 18 | United States | 173 1000 t | 2023 | up 4.2% | falling |
| 19 | Paraguay | 152 1000 t | 2023 | up 76.7% | rising |
| 20 | Rwanda | 148 1000 t | 2023 | — | volatile |
| 21 | Nepal | 115 1000 t | 2023 | up 1,050.0% | volatile |
| 22 | Iran (Islamic Republic of) | 112 1000 t | 2023 | down 20.6% | rising |
| 23 | United Republic of Tanzania | 107 1000 t | 2023 | up 1,683.3% | volatile |
| 24 | Russia | 100 1000 t | 2023 | down 38.3% | falling |
| 24 | Russian Federation | 100 1000 t | 2023 | down 38.3% | falling |
| 26 | Egypt | 87 1000 t | 2023 | down 6.5% | falling |
| 27 | United Kingdom | 84 1000 t | 2023 | down 27.6% | falling |
| 27 | United Kingdom of Great Britain and Northern Ireland | 84 1000 t | 2023 | down 27.6% | falling |
| 29 | Iraq | 81 1000 t | 2023 | up 170.0% | rising |
| 29 | Thailand | 81 1000 t | 2023 | up 84.1% | rising |
| 31 | Morocco | 61 1000 t | 2023 | up 1.7% | rising |
| 32 | Zimbabwe | 53 1000 t | 2023 | — | volatile |
| 33 | Malaysia | 39 1000 t | 2023 | up 56.0% | flat |
| 34 | Ethiopia | 37 1000 t | 2023 | up 362.5% | volatile |
| 35 | Syria | 35 1000 t | 2023 | down 7.9% | falling |
| 35 | Syrian Arab Republic | 35 1000 t | 2023 | down 7.9% | falling |
| 37 | Saudi Arabia | 34 1000 t | 2023 | unchanged | rising |
| 37 | Uzbekistan | 34 1000 t | 2023 | up 41.7% | rising |
| 37 | China, Taiwan Province of | 34 1000 t | 2023 | down 10.5% | falling |
| 40 | Melanesia | 33 1000 t | 2023 | up 725.0% | volatile |
| 41 | Kazakhstan | 32 1000 t | 2023 | up 6.7% | flat |
| 41 | Papua New Guinea | 32 1000 t | 2023 | up 966.7% | volatile |
| 43 | Uruguay | 30 1000 t | 2023 | unchanged | flat |
| 44 | Germany | 27 1000 t | 2023 | down 54.2% | falling |
| 45 | China, Hong Kong SAR | 25 1000 t | 2023 | up 127.3% | rising |
| 46 | Cameroon | 24 1000 t | 2023 | up 118.2% | volatile |
| 47 | Chile | 21 1000 t | 2023 | down 4.5% | rising |
| 47 | Algeria | 21 1000 t | 2023 | up 50.0% | rising |
| 49 | Yemen | 20 1000 t | 2023 | up 42.9% | rising |
| 50 | Libya | 18 1000 t | 2023 | up 63.6% | rising |
| 51 | Mauritania | 17 1000 t | 2023 | up 41.7% | rising |
| 51 | South Africa | 17 1000 t | 2023 | down 19.0% | falling |
| 53 | Afghanistan | 16 1000 t | 2023 | down 81.2% | volatile |
| 54 | United Arab Emirates | 15 1000 t | 2023 | down 51.6% | volatile |
| 54 | Laos | 15 1000 t | 2023 | up 200.0% | volatile |
| 54 | Lao People's Democratic Republic | 15 1000 t | 2023 | up 200.0% | volatile |
| 57 | Azerbaijan | 14 1000 t | 2023 | up 600.0% | volatile |
| 57 | France | 14 1000 t | 2023 | down 17.6% | falling |
| 59 | Australia and New Zealand | 13 1000 t | 2023 | down 27.8% | falling |
| 60 | Ukraine | 12 1000 t | 2023 | down 45.5% | falling |
| 61 | Australia | 11 1000 t | 2023 | down 26.7% | falling |
| 62 | Ecuador | 10 1000 t | 2023 | up 900.0% | volatile |
| 62 | Kyrgyzstan | 10 1000 t | 2023 | up 150.0% | rising |
| 62 | Poland | 10 1000 t | 2023 | down 44.4% | falling |
| 62 | Senegal | 10 1000 t | 2023 | up 150.0% | rising |
| 66 | Ireland | 8 1000 t | 2023 | up 100.0% | rising |
| 67 | Burkina Faso | 7 1000 t | 2023 | up 40.0% | rising |
| 67 | Italy | 7 1000 t | 2023 | down 12.5% | falling |
| 67 | Mauritius | 7 1000 t | 2023 | up 250.0% | volatile |
| 67 | Niger | 7 1000 t | 2023 | unchanged | falling |
| 67 | Philippines | 7 1000 t | 2023 | up 133.3% | rising |
| 72 | Nigeria | 6 1000 t | 2023 | up 500.0% | volatile |
| 72 | Tunisia | 6 1000 t | 2023 | down 14.3% | falling |
| 74 | Denmark | 5 1000 t | 2023 | up 66.7% | rising |
| 74 | Guinea | 5 1000 t | 2023 | up 25.0% | falling |
| 74 | Mozambique | 5 1000 t | 2023 | down 80.0% | falling |
| 74 | Portugal | 5 1000 t | 2023 | up 400.0% | rising |
| 74 | Sierra Leone | 5 1000 t | 2023 | — | volatile |
| 74 | Tajikistan | 5 1000 t | 2023 | unchanged | flat |
| 80 | Belarus | 4 1000 t | 2023 | unchanged | rising |
| 80 | Kuwait | 4 1000 t | 2023 | down 42.9% | falling |
| 80 | Lebanon | 4 1000 t | 2023 | unchanged | flat |
| 80 | Oman | 4 1000 t | 2023 | down 20.0% | rising |
| 80 | Qatar | 4 1000 t | 2023 | — | falling |
| 80 | Sweden | 4 1000 t | 2023 | unchanged | flat |
| 80 | Democratic Republic of the Congo | 4 1000 t | 2023 | up 33.3% | rising |
| 87 | Austria | 3 1000 t | 2023 | unchanged | rising |
| 87 | Belgium | 3 1000 t | 2023 | down 40.0% | volatile |
| 87 | Switzerland | 3 1000 t | 2023 | up 250.0% | volatile |
| 87 | Cote d'Ivoire | 3 1000 t | 2023 | up 50.0% | volatile |
| 87 | Czechia | 3 1000 t | 2023 | up 50.0% | rising |
| 87 | Georgia | 3 1000 t | 2023 | up 50.0% | rising |
| 87 | Greece | 3 1000 t | 2023 | down 25.0% | volatile |
| 87 | Jordan | 3 1000 t | 2023 | down 40.0% | falling |
| 87 | Turkmenistan | 3 1000 t | 2023 | unchanged | falling |
| 87 | Côte d'Ivoire | 3 1000 t | 2023 | up 50.0% | volatile |
| 97 | Albania | 2 1000 t | 2023 | — | volatile |
| 97 | Bahrain | 2 1000 t | 2023 | — | flat |
| 97 | Botswana | 2 1000 t | 2023 | unchanged | flat |
| 97 | Gambia | 2 1000 t | 2023 | down 50.0% | falling |
| 97 | Cambodia | 2 1000 t | 2023 | — | volatile |
| 97 | Mongolia | 2 1000 t | 2023 | down 33.3% | falling |
| 97 | New Zealand | 2 1000 t | 2023 | down 33.3% | flat |
| 97 | Peru | 2 1000 t | 2023 | down 60.0% | falling |
| 97 | Zambia | 2 1000 t | 2023 | unchanged | rising |
| 97 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | down 33.3% | falling |
| 107 | Armenia | 1 1000 t | 2023 | — | volatile |
| 107 | Bulgaria | 1 1000 t | 2023 | unchanged | flat |
| 107 | Barbados | 1 1000 t | 2023 | — | volatile |
| 107 | Congo | 1 1000 t | 2023 | — | volatile |
| 107 | Colombia | 1 1000 t | 2023 | unchanged | falling |
| 107 | Costa Rica | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 107 | Finland | 1 1000 t | 2023 | down 50.0% | falling |
| 107 | Fiji | 1 1000 t | 2023 | unchanged | flat |
| 107 | Ghana | 1 1000 t | 2023 | down 50.0% | volatile |
| 107 | Guatemala | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Israel | 1 1000 t | 2023 | unchanged | falling |
| 107 | Liberia | 1 1000 t | 2023 | — | volatile |
| 107 | Lesotho | 1 1000 t | 2023 | — | volatile |
| 107 | Lithuania | 1 1000 t | 2023 | unchanged | flat |
| 107 | Moldova | 1 1000 t | 2023 | unchanged | flat |
| 107 | Maldives | 1 1000 t | 2023 | — | volatile |
| 107 | Malta | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Namibia | 1 1000 t | 2023 | unchanged | rising |
| 107 | Norway | 1 1000 t | 2023 | down 50.0% | falling |
| 107 | Panama | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Romania | 1 1000 t | 2023 | down 50.0% | falling |
| 107 | Solomon Islands | 1 1000 t | 2023 | — | volatile |
| 107 | El Salvador | 1 1000 t | 2023 | unchanged | flat |
| 107 | Slovakia | 1 1000 t | 2023 | unchanged | falling |
| 107 | Eswatini | 1 1000 t | 2023 | unchanged | volatile |
| 107 | Caribbean | 1 1000 t | 2023 | unchanged | rising |
| 107 | Republic of Korea | 1 1000 t | 2023 | down 66.7% | falling |
| 107 | Republic of Moldova | 1 1000 t | 2023 | unchanged | flat |
| 107 | China, Macao SAR | 1 1000 t | 2023 | unchanged | flat |
| 137 | Angola | 0 1000 t | 2023 | down 100.0% | falling |
| 137 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 137 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 137 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 137 | Honduras | 0 1000 t | 2023 | — | volatile |
| 137 | Hungary | 0 1000 t | 2023 | — | volatile |
| 137 | Latvia | 0 1000 t | 2023 | down 100.0% | falling |
| 137 | North Macedonia | 0 1000 t | 2023 | down 100.0% | falling |
| 137 | Serbia | 0 1000 t | 2023 | — | volatile |
| 137 | East Timor | 0 1000 t | 2023 | — | volatile |
| 137 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 137 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 137 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 191 | Netherlands (Kingdom of the) | -1 1000 t | 2023 | down 105.6% | falling |
| 192 | Mexico | -10 1000 t | 2023 | — | volatile |
| 193 | Canada | -25 1000 t | 2023 | up 26.5% | rising |
| 194 | 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
- Least Developed Countries (LDCs) 1,739 1000 t
- Land Locked Developing Countries (LLDCs) 1,238 1000 t
- Europe 269 1000 t
- Northern Africa 210 1000 t
- United States of America 173 1000 t
- Northern America 148 1000 t
- Eastern Europe 133 1000 t
- Northern Europe 105 1000 t
- Central Asia 85 1000 t
- Western Africa 78 1000 t
- European Union (27) 62 1000 t
- Western Europe 49 1000 t
- Oceania 47 1000 t
- Small island developing States (SIDS) 44 1000 t
- Middle Africa 33 1000 t
- Southern Africa 22 1000 t
- Central America -6 1000 t
- Southern Europe -18 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.