Tea (including mate) — Food 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
182
Highest
15,454 1000 t
China
Lowest
0 1000 t
Micronesia (Federated States of)
Median
2 1000 t
Years covered
14
2010–2023
Data points
2,896

What the numbers show

Tea (including mate) — Food is currently reported for 182 countries. The highest value is 15,454 1000 t in China; the lowest is 0 1000 t in Micronesia (Federated States of).

The median across all reporting countries is 2 1000 t, and the mean is 265.94 1000 t.

Over the past decade 50 countries rose and 41 fell. The largest increase was in Malawi (up 4,675.0%), and the largest decrease in Angola (down 100.0%).

Tea (including mate) — Food: full country ranking

#Country LatestYear 10-year changeTrend
1 China 15,454 1000 t 2023 up 83.6% rising
2 China, mainland 15,396 1000 t 2023 up 84.0% rising
3 India 5,772 1000 t 2023 up 529.4% volatile
4 Kenya 1,925 1000 t 2023 up 2,861.5% volatile
5 Türkiye 1,744 1000 t 2023 up 675.1% volatile
6 Argentina 1,241 1000 t 2023 up 406.5% volatile
7 Sri Lanka 1,187 1000 t 2023 down 19.9% falling
8 Viet Nam 1,045 1000 t 2023 up 1,293.3% volatile
9 Brazil 700 1000 t 2023 up 57.3% rising
10 Indonesia 592 1000 t 2023 up 588.4% volatile
11 Bangladesh 406 1000 t 2023 up 524.6% volatile
12 Uganda 292 1000 t 2023 volatile
13 Pakistan 236 1000 t 2023 up 95.0% rising
14 Malawi 191 1000 t 2023 up 4,675.0% volatile
15 Myanmar 180 1000 t 2023 up 95.7% rising
16 Paraguay 153 1000 t 2023 up 96.2% rising
17 Rwanda 146 1000 t 2023 volatile
18 Nepal 111 1000 t 2023 up 1,287.5% volatile
19 Iran (Islamic Republic of) 108 1000 t 2023 down 20.6% flat
20 United Republic of Tanzania 104 1000 t 2023 up 2,500.0% volatile
21 Russian Federation 100 1000 t 2023 down 38.3% falling
22 Egypt 87 1000 t 2023 down 6.5% falling
23 Thailand 86 1000 t 2023 up 26.5% flat
24 United Kingdom of Great Britain and Northern Ireland 84 1000 t 2023 down 27.6% falling
25 Iraq 80 1000 t 2023 up 166.7% rising
26 Morocco 61 1000 t 2023 up 1.7% rising
27 Zimbabwe 53 1000 t 2023 volatile
28 Malaysia 45 1000 t 2023 up 55.2% rising
29 Syrian Arab Republic 35 1000 t 2023 down 7.9% falling
30 Ethiopia 34 1000 t 2023 up 325.0% volatile
30 Saudi Arabia 34 1000 t 2023 unchanged rising
30 Uzbekistan 34 1000 t 2023 up 41.7% rising
33 China, Taiwan Province of 33 1000 t 2023 down 10.8% falling
34 Kazakhstan 32 1000 t 2023 up 6.7% flat
35 Melanesia 31 1000 t 2023 up 933.3% volatile
36 Papua New Guinea 30 1000 t 2023 up 1,400.0% volatile
36 Uruguay 30 1000 t 2023 unchanged flat
38 Germany 27 1000 t 2023 down 54.2% falling
39 China, Hong Kong SAR 24 1000 t 2023 up 140.0% rising
40 Cameroon 23 1000 t 2023 up 109.1% volatile
41 Chile 21 1000 t 2023 down 19.2% falling
41 Algeria 21 1000 t 2023 up 50.0% rising
43 Yemen 20 1000 t 2023 volatile
44 Libya 18 1000 t 2023 up 63.6% rising
45 Mauritania 17 1000 t 2023 up 41.7% rising
46 Afghanistan 16 1000 t 2023 down 81.2% volatile
47 Canada 15 1000 t 2023 down 6.2% falling
48 Azerbaijan 14 1000 t 2023 up 600.0% volatile
48 France 14 1000 t 2023 down 17.6% falling
48 Poland 14 1000 t 2023 down 22.2% falling
51 Australia and New Zealand 13 1000 t 2023 down 27.8% falling
52 Ukraine 12 1000 t 2023 down 45.5% falling
52 Lao People's Democratic Republic 12 1000 t 2023 up 140.0% volatile
54 Australia 11 1000 t 2023 down 26.7% falling
55 Ecuador 10 1000 t 2023 up 900.0% volatile
55 Kyrgyzstan 10 1000 t 2023 up 150.0% rising
55 Senegal 10 1000 t 2023 up 150.0% rising
58 Spain 8 1000 t 2023 up 100.0% rising
58 Ireland 8 1000 t 2023 up 14.3% flat
60 Italy 7 1000 t 2023 down 12.5% falling
60 Mauritius 7 1000 t 2023 up 600.0% volatile
60 Niger 7 1000 t 2023 unchanged falling
60 Philippines 7 1000 t 2023 up 133.3% rising
64 Burkina Faso 6 1000 t 2023 up 20.0% rising
64 Nigeria 6 1000 t 2023 up 500.0% volatile
64 Tunisia 6 1000 t 2023 down 14.3% falling
67 United Arab Emirates 5 1000 t 2023 down 50.0% volatile
67 Denmark 5 1000 t 2023 up 66.7% rising
67 Guinea 5 1000 t 2023 up 25.0% falling
67 Jordan 5 1000 t 2023 unchanged flat
67 Portugal 5 1000 t 2023 up 400.0% rising
67 Sierra Leone 5 1000 t 2023 volatile
67 Tajikistan 5 1000 t 2023 unchanged flat
74 Belarus 4 1000 t 2023 unchanged rising
74 Kuwait 4 1000 t 2023 down 42.9% falling
74 Lebanon 4 1000 t 2023 unchanged flat
74 Mozambique 4 1000 t 2023 down 83.3% falling
74 Oman 4 1000 t 2023 down 20.0% rising
74 Qatar 4 1000 t 2023 flat
74 Sweden 4 1000 t 2023 unchanged flat
74 Republic of Korea 4 1000 t 2023 up 33.3% rising
82 Austria 3 1000 t 2023 unchanged rising
82 Belgium 3 1000 t 2023 down 40.0% volatile
82 Switzerland 3 1000 t 2023 up 50.0% rising
82 Czechia 3 1000 t 2023 up 50.0% rising
82 Georgia 3 1000 t 2023 up 50.0% volatile
82 Greece 3 1000 t 2023 down 25.0% volatile
82 Turkmenistan 3 1000 t 2023 unchanged falling
82 Democratic Republic of the Congo 3 1000 t 2023 unchanged rising
82 Côte d'Ivoire 3 1000 t 2023 up 50.0% volatile
91 Albania 2 1000 t 2023 volatile
91 Bahrain 2 1000 t 2023 rising
91 Botswana 2 1000 t 2023 unchanged flat
91 Gambia 2 1000 t 2023 down 50.0% falling
91 Cambodia 2 1000 t 2023 volatile
91 Mongolia 2 1000 t 2023 down 33.3% falling
91 New Zealand 2 1000 t 2023 down 33.3% flat
91 Peru 2 1000 t 2023 down 60.0% falling
91 Zambia 2 1000 t 2023 unchanged rising
91 Caribbean 2 1000 t 2023 up 100.0% rising
91 Bolivia (Plurinational State of) 2 1000 t 2023 down 33.3% falling
102 Armenia 1 1000 t 2023 volatile
102 Bulgaria 1 1000 t 2023 unchanged flat
102 Barbados 1 1000 t 2023 volatile
102 Congo 1 1000 t 2023 volatile
102 Colombia 1 1000 t 2023 unchanged falling
102 Costa Rica 1 1000 t 2023 unchanged volatile
102 Cyprus 1 1000 t 2023 volatile
102 Finland 1 1000 t 2023 down 50.0% falling
102 Fiji 1 1000 t 2023 unchanged flat
102 Ghana 1 1000 t 2023 down 50.0% volatile
102 Guatemala 1 1000 t 2023 unchanged falling
102 Hungary 1 1000 t 2023 unchanged rising
102 Israel 1 1000 t 2023 unchanged falling
102 Liberia 1 1000 t 2023 volatile
102 Lesotho 1 1000 t 2023 volatile
102 Lithuania 1 1000 t 2023 unchanged flat
102 Maldives 1 1000 t 2023 volatile
102 Mexico 1 1000 t 2023 unchanged volatile
102 Malta 1 1000 t 2023 unchanged volatile
102 Namibia 1 1000 t 2023 unchanged rising
102 Norway 1 1000 t 2023 down 50.0% flat
102 Panama 1 1000 t 2023 unchanged volatile
102 Romania 1 1000 t 2023 down 50.0% falling
102 El Salvador 1 1000 t 2023 unchanged flat
102 Slovakia 1 1000 t 2023 unchanged falling
102 Eswatini 1 1000 t 2023 unchanged volatile
102 Republic of Moldova 1 1000 t 2023 unchanged flat
102 Netherlands (Kingdom of the) 1 1000 t 2023 down 94.4% falling
102 China, Macao SAR 1 1000 t 2023 unchanged flat
131 Angola 0 1000 t 2023 down 100.0% falling
131 Antigua and Barbuda 0 1000 t 2023 flat
131 Bahamas 0 1000 t 2023 down 100.0% volatile
131 Bosnia and Herzegovina 0 1000 t 2023 flat
131 Belize 0 1000 t 2023 flat
131 Bhutan 0 1000 t 2023 flat
131 Comoros 0 1000 t 2023 flat
131 Cuba 0 1000 t 2019 flat
131 Djibouti 0 1000 t 2023 down 100.0% volatile
131 Dominican Republic 0 1000 t 2023 volatile
131 Estonia 0 1000 t 2023 down 100.0% volatile
131 Gabon 0 1000 t 2023 flat
131 Guinea-Bissau 0 1000 t 2023 volatile
131 Grenada 0 1000 t 2023 flat
131 Guyana 0 1000 t 2023 flat
131 Honduras 0 1000 t 2023 volatile
131 Croatia 0 1000 t 2023 flat
131 Haiti 0 1000 t 2023 flat
131 Iceland 0 1000 t 2023 flat
131 Jamaica 0 1000 t 2022 flat
131 Kiribati 0 1000 t 2023 flat
131 Saint Kitts and Nevis 0 1000 t 2023 flat
131 Saint Lucia 0 1000 t 2023 flat
131 Luxembourg 0 1000 t 2023 flat
131 Latvia 0 1000 t 2023 down 100.0% falling
131 Madagascar 0 1000 t 2023 flat
131 Marshall Islands 0 1000 t 2023 flat
131 North Macedonia 0 1000 t 2023 down 100.0% volatile
131 Montenegro 0 1000 t 2023 flat
131 New Caledonia 0 1000 t 2023 flat
131 Nicaragua 0 1000 t 2023 flat
131 Nauru 0 1000 t 2023 flat
131 French Polynesia 0 1000 t 2023 flat
131 Solomon Islands 0 1000 t 2023 volatile
131 Serbia 0 1000 t 2023 flat
131 Sao Tome and Principe 0 1000 t 2023 flat
131 Suriname 0 1000 t 2023 flat
131 Slovenia 0 1000 t 2023 flat
131 Seychelles 0 1000 t 2023 flat
131 Tonga 0 1000 t 2023 flat
131 Trinidad and Tobago 0 1000 t 2023 volatile
131 Tuvalu 0 1000 t 2023 flat
131 Saint Vincent and the Grenadines 0 1000 t 2023 flat
131 Vanuatu 0 1000 t 2023 flat
131 Samoa 0 1000 t 2023 flat
131 Micronesia 0 1000 t 2023 flat
131 Timor-Leste 0 1000 t 2023 flat
131 Cabo Verde 0 1000 t 2023 flat
131 Polynesia 0 1000 t 2023 flat
131 Venezuela (Bolivarian Republic of) 0 1000 t 2023 down 100.0% volatile
131 Democratic People's Republic of Korea 0 1000 t 2018 flat
131 Micronesia (Federated States of) 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) — Food
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,896 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.