Tea (including mate) — Import 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) — Import quantity is currently reported for 154 countries. The highest value is 242 1000 t in Pakistan; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 3.5 1000 t, and the mean is 15.97 1000 t.
Over the past decade 44 countries rose and 55 fell. The largest increase was in Myanmar (up 3,600.0%), and the largest decrease in Angola (down 100.0%).
Tea (including mate) — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Pakistan | 242 1000 t | 2023 | up 98.4% | rising |
| 2 | United States | 183 1000 t | 2023 | down 11.2% | falling |
| 3 | Russia | 108 1000 t | 2023 | down 38.6% | falling |
| 3 | Russian Federation | 108 1000 t | 2023 | down 38.6% | falling |
| 5 | United Kingdom | 99 1000 t | 2023 | down 29.3% | falling |
| 5 | United Kingdom of Great Britain and Northern Ireland | 99 1000 t | 2023 | down 29.3% | falling |
| 7 | China | 91 1000 t | 2023 | up 35.8% | rising |
| 7 | Egypt | 91 1000 t | 2023 | down 13.3% | falling |
| 9 | Iraq | 81 1000 t | 2023 | up 189.3% | rising |
| 10 | Myanmar | 74 1000 t | 2023 | up 3,600.0% | volatile |
| 11 | United Arab Emirates | 68 1000 t | 2023 | down 18.1% | rising |
| 12 | Morocco | 62 1000 t | 2023 | up 5.1% | rising |
| 13 | Germany | 60 1000 t | 2023 | down 38.8% | falling |
| 14 | China, mainland | 41 1000 t | 2023 | up 95.2% | rising |
| 15 | Malaysia | 39 1000 t | 2023 | up 85.7% | rising |
| 15 | Iran (Islamic Republic of) | 39 1000 t | 2023 | down 52.4% | flat |
| 17 | Syria | 38 1000 t | 2023 | down 15.6% | falling |
| 17 | Syrian Arab Republic | 38 1000 t | 2023 | down 15.6% | falling |
| 19 | Saudi Arabia | 37 1000 t | 2023 | up 5.7% | rising |
| 20 | Kazakhstan | 36 1000 t | 2023 | up 5.9% | rising |
| 20 | Uzbekistan | 36 1000 t | 2023 | up 44.0% | rising |
| 22 | Poland | 34 1000 t | 2023 | down 10.5% | falling |
| 23 | Uruguay | 30 1000 t | 2023 | down 9.1% | flat |
| 23 | China, Taiwan Province of | 30 1000 t | 2023 | down 6.2% | flat |
| 25 | Netherlands (Kingdom of the) | 28 1000 t | 2023 | down 31.7% | falling |
| 26 | Canada | 25 1000 t | 2023 | down 7.4% | falling |
| 26 | India | 25 1000 t | 2023 | up 25.0% | rising |
| 28 | Chile | 23 1000 t | 2023 | down 17.9% | flat |
| 29 | Yemen | 22 1000 t | 2023 | up 37.5% | rising |
| 30 | Algeria | 21 1000 t | 2023 | up 61.5% | rising |
| 31 | France | 20 1000 t | 2023 | down 9.1% | rising |
| 31 | Turkey | 20 1000 t | 2023 | up 233.3% | rising |
| 31 | South Africa | 20 1000 t | 2023 | down 23.1% | falling |
| 31 | Türkiye | 20 1000 t | 2023 | up 233.3% | rising |
| 35 | China, Hong Kong SAR | 19 1000 t | 2023 | up 35.7% | rising |
| 36 | Libya | 18 1000 t | 2023 | up 50.0% | rising |
| 37 | Mauritania | 17 1000 t | 2023 | up 21.4% | rising |
| 38 | Afghanistan | 16 1000 t | 2023 | down 85.0% | volatile |
| 38 | Thailand | 16 1000 t | 2023 | up 166.7% | rising |
| 40 | Australia and New Zealand | 15 1000 t | 2023 | down 21.1% | falling |
| 41 | Azerbaijan | 14 1000 t | 2023 | up 55.6% | rising |
| 41 | Ireland | 14 1000 t | 2023 | up 16.7% | rising |
| 43 | Australia | 13 1000 t | 2023 | down 18.8% | falling |
| 43 | Spain | 13 1000 t | 2023 | up 18.2% | rising |
| 43 | Indonesia | 13 1000 t | 2023 | down 40.9% | falling |
| 46 | Belgium | 12 1000 t | 2023 | down 33.3% | falling |
| 46 | Philippines | 12 1000 t | 2023 | up 200.0% | rising |
| 46 | Ukraine | 12 1000 t | 2023 | down 55.6% | falling |
| 49 | Italy | 11 1000 t | 2023 | up 10.0% | falling |
| 50 | Switzerland | 10 1000 t | 2023 | up 25.0% | rising |
| 50 | Cameroon | 10 1000 t | 2023 | up 11.1% | volatile |
| 50 | Vietnam | 10 1000 t | 2023 | up 900.0% | rising |
| 50 | Viet Nam | 10 1000 t | 2023 | up 900.0% | rising |
| 54 | Jordan | 9 1000 t | 2023 | up 50.0% | rising |
| 55 | Argentina | 8 1000 t | 2023 | — | volatile |
| 55 | Kyrgyzstan | 8 1000 t | 2023 | up 100.0% | rising |
| 55 | Niger | 8 1000 t | 2023 | down 20.0% | flat |
| 55 | Senegal | 8 1000 t | 2023 | up 60.0% | rising |
| 59 | Burkina Faso | 7 1000 t | 2023 | up 16.7% | rising |
| 59 | Denmark | 7 1000 t | 2023 | up 133.3% | rising |
| 59 | Sri Lanka | 7 1000 t | 2023 | up 40.0% | falling |
| 59 | Nigeria | 7 1000 t | 2023 | up 600.0% | volatile |
| 59 | Oman | 7 1000 t | 2023 | unchanged | rising |
| 64 | Kenya | 6 1000 t | 2023 | down 53.8% | volatile |
| 64 | Sweden | 6 1000 t | 2023 | up 20.0% | rising |
| 64 | Tunisia | 6 1000 t | 2023 | down 14.3% | falling |
| 67 | Austria | 5 1000 t | 2023 | down 16.7% | rising |
| 67 | Guinea | 5 1000 t | 2023 | up 66.7% | falling |
| 67 | Kuwait | 5 1000 t | 2023 | down 28.6% | falling |
| 67 | Portugal | 5 1000 t | 2023 | up 150.0% | rising |
| 67 | Tajikistan | 5 1000 t | 2023 | up 25.0% | flat |
| 72 | Cote d'Ivoire | 4 1000 t | 2023 | up 33.3% | rising |
| 72 | Czechia | 4 1000 t | 2023 | unchanged | rising |
| 72 | Lebanon | 4 1000 t | 2023 | down 20.0% | flat |
| 72 | Qatar | 4 1000 t | 2023 | — | falling |
| 72 | Republic of Korea | 4 1000 t | 2023 | up 33.3% | rising |
| 72 | Côte d'Ivoire | 4 1000 t | 2023 | up 33.3% | rising |
| 78 | Greece | 3 1000 t | 2023 | down 25.0% | volatile |
| 78 | Mexico | 3 1000 t | 2023 | down 50.0% | falling |
| 78 | Turkmenistan | 3 1000 t | 2023 | unchanged | falling |
| 81 | Albania | 2 1000 t | 2023 | — | volatile |
| 81 | Bahrain | 2 1000 t | 2023 | — | rising |
| 81 | Brazil | 2 1000 t | 2023 | down 50.0% | volatile |
| 81 | Botswana | 2 1000 t | 2023 | unchanged | flat |
| 81 | Georgia | 2 1000 t | 2023 | unchanged | rising |
| 81 | Gambia | 2 1000 t | 2023 | down 50.0% | falling |
| 81 | Israel | 2 1000 t | 2023 | unchanged | falling |
| 81 | Cambodia | 2 1000 t | 2023 | — | volatile |
| 81 | Laos | 2 1000 t | 2023 | — | volatile |
| 81 | Mongolia | 2 1000 t | 2023 | down 33.3% | falling |
| 81 | New Zealand | 2 1000 t | 2023 | down 33.3% | rising |
| 81 | Peru | 2 1000 t | 2023 | up 100.0% | rising |
| 81 | Melanesia | 2 1000 t | 2023 | up 100.0% | rising |
| 81 | Caribbean | 2 1000 t | 2023 | unchanged | rising |
| 81 | Lao People's Democratic Republic | 2 1000 t | 2023 | — | volatile |
| 96 | Armenia | 1 1000 t | 2023 | — | volatile |
| 96 | Bulgaria | 1 1000 t | 2023 | unchanged | falling |
| 96 | Belarus | 1 1000 t | 2023 | down 80.0% | falling |
| 96 | Barbados | 1 1000 t | 2023 | — | volatile |
| 96 | Congo | 1 1000 t | 2023 | — | volatile |
| 96 | Colombia | 1 1000 t | 2023 | down 50.0% | falling |
| 96 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 96 | Finland | 1 1000 t | 2023 | down 50.0% | falling |
| 96 | Fiji | 1 1000 t | 2023 | unchanged | flat |
| 96 | Ghana | 1 1000 t | 2023 | down 50.0% | volatile |
| 96 | Croatia | 1 1000 t | 2023 | — | volatile |
| 96 | Hungary | 1 1000 t | 2023 | unchanged | falling |
| 96 | Liberia | 1 1000 t | 2023 | — | volatile |
| 96 | Lesotho | 1 1000 t | 2023 | — | volatile |
| 96 | Lithuania | 1 1000 t | 2023 | unchanged | falling |
| 96 | Latvia | 1 1000 t | 2023 | down 50.0% | falling |
| 96 | Moldova | 1 1000 t | 2023 | unchanged | flat |
| 96 | Maldives | 1 1000 t | 2023 | — | volatile |
| 96 | Malta | 1 1000 t | 2023 | unchanged | volatile |
| 96 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 96 | Namibia | 1 1000 t | 2023 | unchanged | volatile |
| 96 | Norway | 1 1000 t | 2023 | down 50.0% | falling |
| 96 | Panama | 1 1000 t | 2023 | unchanged | volatile |
| 96 | Paraguay | 1 1000 t | 2023 | unchanged | volatile |
| 96 | Romania | 1 1000 t | 2023 | down 50.0% | falling |
| 96 | Solomon Islands | 1 1000 t | 2023 | — | volatile |
| 96 | Sierra Leone | 1 1000 t | 2023 | — | volatile |
| 96 | Slovakia | 1 1000 t | 2023 | unchanged | falling |
| 96 | Eswatini | 1 1000 t | 2023 | unchanged | rising |
| 96 | Zambia | 1 1000 t | 2023 | unchanged | rising |
| 96 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 96 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | rising |
| 96 | Republic of Moldova | 1 1000 t | 2023 | unchanged | flat |
| 96 | China, Macao SAR | 1 1000 t | 2023 | unchanged | flat |
| 130 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Bangladesh | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 130 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 130 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Gabon | 0 1000 t | 2023 | — | volatile |
| 130 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Honduras | 0 1000 t | 2023 | — | volatile |
| 130 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 130 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 130 | North Macedonia | 0 1000 t | 2023 | down 100.0% | falling |
| 130 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 130 | Suriname | 0 1000 t | 2023 | — | volatile |
| 130 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 130 | East Timor | 0 1000 t | 2023 | — | volatile |
| 130 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 130 | Uganda | 0 1000 t | 2023 | — | volatile |
| 130 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 130 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | United Republic of Tanzania | 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 2,158 1000 t
- Asia 1,033 1000 t
- Net Food Importing Developing Countries (NFIDCs) 658 1000 t
- Europe 467 1000 t
- Africa 355 1000 t
- Southern Asia 331 1000 t
- Western Asia 317 1000 t
- Americas 285 1000 t
- Low Income Food Deficit Countries (LIFDCs) 243 1000 t
- European Union (27) 233 1000 t
- Least Developed Countries (LDCs) 219 1000 t
- Northern Africa 215 1000 t
- Northern America 208 1000 t
- United States of America 183 1000 t
- Land Locked Developing Countries (LLDCs) 170 1000 t
- South-Eastern Asia 168 1000 t
- Eastern Europe 164 1000 t
- Western Europe 136 1000 t
- Northern Europe 131 1000 t
- Eastern Asia 128 1000 t
- Central Asia 89 1000 t
- Western Africa 77 1000 t
- South America 69 1000 t
- Southern Europe 37 1000 t
- Southern Africa 24 1000 t
- Eastern Africa 20 1000 t
- Middle Africa 19 1000 t
- Oceania 17 1000 t
- Small island developing States (SIDS) 7 1000 t
- Central America 6 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.