Tea (including mate) — Export 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) — Export quantity is currently reported for 99 countries. The highest value is 562 1000 t in Kenya; the lowest is 0 1000 t in Lao People's Democratic Republic.
The median across all reporting countries is 3 1000 t, and the mean is 28.75 1000 t.
Over the past decade 26 countries rose and 37 fell. The largest increase was in Republic of Korea (up 250.0%), and the largest decrease in Costa Rica (down 100.0%).
Tea (including mate) — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Kenya | 562 1000 t | 2023 | up 24.6% | rising |
| 2 | China | 395 1000 t | 2023 | up 15.2% | rising |
| 3 | China, mainland | 383 1000 t | 2023 | up 14.3% | rising |
| 4 | India | 241 1000 t | 2023 | down 8.0% | falling |
| 4 | Sri Lanka | 241 1000 t | 2023 | down 24.7% | falling |
| 6 | Argentina | 100 1000 t | 2023 | down 11.5% | falling |
| 7 | United Arab Emirates | 84 1000 t | 2023 | up 86.7% | rising |
| 8 | Uganda | 78 1000 t | 2023 | up 25.8% | rising |
| 9 | Vietnam | 54 1000 t | 2023 | down 61.7% | falling |
| 9 | Viet Nam | 54 1000 t | 2023 | down 61.7% | falling |
| 11 | Canada | 51 1000 t | 2023 | down 16.4% | falling |
| 12 | Spain | 49 1000 t | 2023 | up 226.7% | volatile |
| 13 | Malawi | 45 1000 t | 2023 | up 4.7% | flat |
| 14 | Brazil | 42 1000 t | 2023 | up 7.7% | rising |
| 15 | Indonesia | 38 1000 t | 2023 | down 47.2% | falling |
| 16 | Germany | 34 1000 t | 2023 | down 15.0% | falling |
| 17 | United States | 33 1000 t | 2023 | down 17.5% | falling |
| 18 | Netherlands (Kingdom of the) | 29 1000 t | 2023 | up 26.1% | flat |
| 19 | Poland | 23 1000 t | 2023 | up 9.5% | rising |
| 20 | United Republic of Tanzania | 22 1000 t | 2023 | down 15.4% | falling |
| 21 | Rwanda | 17 1000 t | 2023 | down 22.7% | rising |
| 22 | United Kingdom | 15 1000 t | 2023 | down 34.8% | falling |
| 22 | Malaysia | 15 1000 t | 2023 | up 66.7% | rising |
| 22 | Thailand | 15 1000 t | 2023 | down 50.0% | falling |
| 22 | United Kingdom of Great Britain and Northern Ireland | 15 1000 t | 2023 | down 34.8% | falling |
| 26 | Mexico | 13 1000 t | 2023 | up 160.0% | volatile |
| 26 | Nepal | 13 1000 t | 2023 | up 18.2% | rising |
| 28 | Zimbabwe | 11 1000 t | 2023 | down 8.3% | rising |
| 29 | Belgium | 10 1000 t | 2023 | down 23.1% | falling |
| 30 | Iran (Islamic Republic of) | 9 1000 t | 2023 | down 40.0% | volatile |
| 30 | China, Taiwan Province of | 9 1000 t | 2023 | up 80.0% | rising |
| 32 | Paraguay | 8 1000 t | 2023 | — | volatile |
| 32 | Russia | 8 1000 t | 2023 | down 42.9% | rising |
| 32 | Turkey | 8 1000 t | 2023 | up 60.0% | rising |
| 32 | Russian Federation | 8 1000 t | 2023 | down 42.9% | rising |
| 32 | Türkiye | 8 1000 t | 2023 | up 60.0% | rising |
| 37 | Republic of Korea | 7 1000 t | 2023 | up 250.0% | volatile |
| 38 | Switzerland | 6 1000 t | 2023 | down 40.0% | volatile |
| 38 | France | 6 1000 t | 2023 | up 20.0% | rising |
| 38 | Ireland | 6 1000 t | 2023 | down 14.3% | falling |
| 38 | Jordan | 6 1000 t | 2023 | — | volatile |
| 38 | Myanmar | 6 1000 t | 2023 | up 200.0% | volatile |
| 43 | South Africa | 5 1000 t | 2023 | down 37.5% | rising |
| 44 | Egypt | 4 1000 t | 2023 | down 20.0% | falling |
| 44 | Italy | 4 1000 t | 2023 | up 100.0% | flat |
| 44 | Kazakhstan | 4 1000 t | 2023 | up 100.0% | volatile |
| 47 | Mozambique | 3 1000 t | 2023 | unchanged | rising |
| 47 | Oman | 3 1000 t | 2023 | up 50.0% | volatile |
| 47 | Pakistan | 3 1000 t | 2023 | unchanged | rising |
| 47 | Philippines | 3 1000 t | 2023 | up 50.0% | falling |
| 47 | Saudi Arabia | 3 1000 t | 2023 | up 200.0% | rising |
| 52 | Australia | 2 1000 t | 2023 | up 100.0% | rising |
| 52 | Austria | 2 1000 t | 2023 | unchanged | falling |
| 52 | Chile | 2 1000 t | 2023 | down 50.0% | falling |
| 52 | Czechia | 2 1000 t | 2023 | unchanged | falling |
| 52 | Georgia | 2 1000 t | 2023 | unchanged | rising |
| 52 | Sweden | 2 1000 t | 2023 | up 100.0% | rising |
| 52 | Syria | 2 1000 t | 2023 | — | volatile |
| 52 | Yemen | 2 1000 t | 2023 | down 33.3% | volatile |
| 52 | China, Hong Kong SAR | 2 1000 t | 2023 | down 33.3% | volatile |
| 52 | Syrian Arab Republic | 2 1000 t | 2023 | — | volatile |
| 52 | Australia and New Zealand | 2 1000 t | 2023 | unchanged | rising |
| 63 | Azerbaijan | 1 1000 t | 2023 | down 87.5% | volatile |
| 63 | Bangladesh | 1 1000 t | 2023 | — | falling |
| 63 | Cote d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 63 | Denmark | 1 1000 t | 2023 | unchanged | flat |
| 63 | Ethiopia | 1 1000 t | 2023 | — | volatile |
| 63 | Hungary | 1 1000 t | 2023 | unchanged | volatile |
| 63 | Lebanon | 1 1000 t | 2023 | — | volatile |
| 63 | Morocco | 1 1000 t | 2023 | — | volatile |
| 63 | Mauritania | 1 1000 t | 2022 | — | volatile |
| 63 | Niger | 1 1000 t | 2023 | down 50.0% | volatile |
| 63 | Nigeria | 1 1000 t | 2023 | — | volatile |
| 63 | Peru | 1 1000 t | 2023 | — | volatile |
| 63 | Serbia | 1 1000 t | 2023 | — | volatile |
| 63 | Caribbean | 1 1000 t | 2023 | — | volatile |
| 63 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 78 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 78 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 78 | Belarus | 0 1000 t | 2023 | — | volatile |
| 78 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 78 | Ecuador | 0 1000 t | 2023 | down 100.0% | falling |
| 78 | Ghana | 0 1000 t | 2023 | — | volatile |
| 78 | Gambia | 0 1000 t | 2023 | — | volatile |
| 78 | Greece | 0 1000 t | 2023 | — | volatile |
| 78 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Laos | 0 1000 t | 2023 | — | volatile |
| 78 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 78 | Latvia | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Portugal | 0 1000 t | 2023 | — | volatile |
| 78 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 78 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 78 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Lao People's Democratic Republic | 0 1000 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 2,383 1000 t
- Asia 1,164 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,020 1000 t
- Low Income Food Deficit Countries (LIFDCs) 768 1000 t
- Africa 764 1000 t
- Eastern Africa 748 1000 t
- Southern Asia 508 1000 t
- Eastern Asia 411 1000 t
- Americas 252 1000 t
- Europe 200 1000 t
- Least Developed Countries (LDCs) 200 1000 t
- Land Locked Developing Countries (LLDCs) 190 1000 t
- European Union (27) 170 1000 t
- South America 155 1000 t
- South-Eastern Asia 131 1000 t
- Western Asia 110 1000 t
- Western Europe 86 1000 t
- Northern America 83 1000 t
- Southern Europe 54 1000 t
- Eastern Europe 35 1000 t
- United States of America 33 1000 t
- Northern Europe 25 1000 t
- Central America 14 1000 t
- Southern Africa 6 1000 t
- Central Asia 5 1000 t
- Northern Africa 5 1000 t
- Western Africa 5 1000 t
- Oceania 2 1000 t
- Small island developing States (SIDS) 1 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.