Tea (including mate) — Losses 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) — Losses is currently reported for 53 countries. The highest value is 190 1000 t in China; the lowest is 0 1000 t in Azerbaijan.
The median across all reporting countries is 1 1000 t, and the mean is 13.64 1000 t.
Over the past decade 17 countries rose and 6 fell. The largest increase was in Uganda (up 600.0%), and the largest decrease in Brazil (down 100.0%).
Tea (including mate) — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 190 1000 t | 2023 | up 82.7% | rising |
| 2 | China, mainland | 189 1000 t | 2023 | up 83.5% | rising |
| 3 | Kenya | 70 1000 t | 2023 | up 204.3% | volatile |
| 4 | India | 60 1000 t | 2023 | up 400.0% | volatile |
| 5 | Viet Nam | 35 1000 t | 2023 | up 191.7% | volatile |
| 6 | Indonesia | 30 1000 t | 2023 | up 275.0% | volatile |
| 7 | Uganda | 21 1000 t | 2023 | up 600.0% | volatile |
| 8 | Argentina | 20 1000 t | 2023 | down 23.1% | volatile |
| 9 | Bangladesh | 19 1000 t | 2023 | up 375.0% | volatile |
| 10 | Türkiye | 17 1000 t | 2023 | up 183.3% | volatile |
| 11 | Sri Lanka | 15 1000 t | 2023 | down 16.7% | falling |
| 12 | Malawi | 10 1000 t | 2023 | up 400.0% | volatile |
| 13 | Myanmar | 7 1000 t | 2023 | up 40.0% | rising |
| 14 | Thailand | 6 1000 t | 2023 | up 50.0% | rising |
| 15 | Pakistan | 5 1000 t | 2023 | up 150.0% | rising |
| 15 | Rwanda | 5 1000 t | 2023 | up 400.0% | volatile |
| 17 | Iran (Islamic Republic of) | 4 1000 t | 2023 | down 20.0% | falling |
| 18 | United Republic of Tanzania | 3 1000 t | 2023 | up 50.0% | rising |
| 18 | United Arab Emirates | 3 1000 t | 2023 | down 25.0% | flat |
| 18 | Nepal | 3 1000 t | 2023 | up 200.0% | volatile |
| 18 | Ethiopia | 3 1000 t | 2023 | up 200.0% | volatile |
| 22 | Papua New Guinea | 2 1000 t | 2023 | — | volatile |
| 22 | Melanesia | 2 1000 t | 2023 | — | volatile |
| 24 | Malaysia | 1 1000 t | 2023 | unchanged | flat |
| 24 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 24 | China, Taiwan Province of | 1 1000 t | 2023 | unchanged | flat |
| 24 | Cameroon | 1 1000 t | 2023 | — | volatile |
| 28 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 28 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 28 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 28 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 28 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 28 | Mauritius | 0 1000 t | 2023 | — | flat |
| 28 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 28 | Colombia | 0 1000 t | 2023 | — | flat |
| 28 | Ecuador | 0 1000 t | 2023 | — | flat |
| 28 | Spain | 0 1000 t | 2023 | — | flat |
| 28 | Georgia | 0 1000 t | 2023 | — | flat |
| 28 | Guatemala | 0 1000 t | 2023 | — | flat |
| 28 | Bahrain | 0 1000 t | 2023 | — | flat |
| 28 | Madagascar | 0 1000 t | 2023 | — | flat |
| 28 | Montenegro | 0 1000 t | 2023 | — | flat |
| 28 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 28 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 28 | Panama | 0 1000 t | 2019 | — | flat |
| 28 | Peru | 0 1000 t | 2023 | — | flat |
| 28 | Portugal | 0 1000 t | 2023 | — | flat |
| 28 | Qatar | 0 1000 t | 2023 | — | flat |
| 28 | El Salvador | 0 1000 t | 2023 | — | flat |
| 28 | Seychelles | 0 1000 t | 2023 | — | flat |
| 28 | Zambia | 0 1000 t | 2023 | — | flat |
| 28 | Bhutan | 0 1000 t | 2023 | — | flat |
| 28 | Azerbaijan | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 543 1000 t
- Asia 402 1000 t
- Eastern Asia 196 1000 t
- Net Food Importing Developing Countries (NFIDCs) 168 1000 t
- Low Income Food Deficit Countries (LIFDCs) 122 1000 t
- Africa 119 1000 t
- Eastern Africa 118 1000 t
- Southern Asia 106 1000 t
- South-eastern Asia 79 1000 t
- Least Developed Countries (LDCs) 78 1000 t
- Land Locked Developing Countries (LLDCs) 49 1000 t
- Western Asia 20 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.