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...

Countries reporting
53
Highest
190 1000 t
China
Lowest
0 1000 t
Azerbaijan
Median
1 1000 t
Years covered
14
2010–2023
Data points
1,049

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 LatestYear 10-year changeTrend
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.

About this data

Indicator
Tea (including mate) — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
78 places, 1,049 data points, 2010–2023
Last refreshed

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.