Statizoid

Tea (including mate) — Stock Variation in South America

South America: Tea (including mate) — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Change on year
down 100.0%
Rank
9th
of 38 regions
All-time high
182 1000 t
in 2016
All-time low
-99 1000 t
in 2011
Years of data
14
2010–2023

Tea (including mate) — Stock Variation in South America, 2010–2023

-10001002002010201620232010: -82 1000 t2011: -99 1000 t2012: -56 1000 t2013: -66 1000 t2014: 123 1000 t2015: 138 1000 t2016: 182 1000 t2017: 169 1000 t2018: 50 1000 t2019: -1 1000 t2020: -1 1000 t2021: 0 1000 t2022: 4 1000 t2023: 0 1000 t

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.

Analysis

In 2023, tea (including mate) — stock variation in South America stood at 0 1000 t.

That represents a change of down 100.0% on the previous year and up 100.0% over ten years.

Over the whole period, tea (including mate) — stock variation in South America peaked at 182 1000 t in 2016 and was at its lowest, -99 1000 t, in 2011.

That places South America 9th out of 38 regions with data for 2023, putting it in the top quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
2010s 35.8 1000 t -99 1000 t 182 1000 t 10
2020s 0.75 1000 t -1 1000 t 4 1000 t 4

Countries ranked near South America

  1. 8 Mauritania 1 1000 t compare
  2. 8 Italy 1 1000 t compare
  3. 8 Nepal 1 1000 t compare
  4. 11 Tuvalu 0 1000 t compare
  5. 11 Nauru 0 1000 t compare
  6. 11 Tonga 0 1000 t compare
  7. 11 Marshall Islands 0 1000 t compare
  8. 11 Bhutan 0 1000 t compare
  9. 11 Qatar 0 1000 t compare
  10. 11 Bahrain 0 1000 t compare
  11. 11 Cuba 0 1000 t compare
  12. 11 Turkmenistan 0 1000 t compare
  13. 11 Kiribati 0 1000 t compare
  14. 11 Lesotho 0 1000 t compare
  15. 11 Comoros 0 1000 t compare
  16. 11 Djibouti 0 1000 t compare
  17. 11 Guinea-Bissau 0 1000 t compare
  18. 11 Sao Tome and Principe 0 1000 t compare
  19. 11 Tajikistan 0 1000 t compare
  20. 11 China, Macao SAR 0 1000 t compare
  21. 11 Liberia 0 1000 t compare
  22. 11 Afghanistan 0 1000 t compare
  23. 11 Mongolia 0 1000 t compare
  24. 11 Saint Kitts and Nevis 0 1000 t compare
  25. 11 Solomon Islands 0 1000 t compare
  26. 11 Gambia 0 1000 t compare
  27. 11 Albania 0 1000 t compare
  28. 11 Libya 0 1000 t compare
  29. 11 Sierra Leone 0 1000 t compare
  30. 11 Vanuatu 0 1000 t compare
  31. 11 Suriname 0 1000 t compare
  32. 11 Montenegro 0 1000 t compare
  33. 11 Maldives 0 1000 t compare
  34. 11 Saint Vincent and the Grenadines 0 1000 t compare
  35. 11 Armenia 0 1000 t compare
  36. 11 Kuwait 0 1000 t compare
  37. 11 Iceland 0 1000 t compare
  38. 11 Seychelles 0 1000 t compare
  39. 11 French Polynesia 0 1000 t compare
  40. 11 Grenada 0 1000 t compare
  41. 11 Samoa 0 1000 t compare
  42. 11 Estonia 0 1000 t compare
  43. 11 Gabon 0 1000 t compare
  44. 11 Guyana 0 1000 t compare
  45. 11 Eswatini 0 1000 t compare
  46. 11 Georgia 0 1000 t compare
  47. 11 Bosnia and Herzegovina 0 1000 t compare
  48. 11 Lithuania 0 1000 t compare
  49. 11 Haiti 0 1000 t compare
  50. 11 Papua New Guinea 0 1000 t compare
  51. 11 Saint Lucia 0 1000 t compare
  52. 11 North Macedonia 0 1000 t compare
  53. 11 Guinea 0 1000 t compare
  54. 11 Jordan 0 1000 t compare
  55. 11 Niger 0 1000 t compare
  56. 11 Angola 0 1000 t compare
  57. 11 Oman 0 1000 t compare
  58. 11 Bahamas 0 1000 t compare
  59. 11 Iraq 0 1000 t compare
  60. 11 New Caledonia 0 1000 t compare
  61. 11 Azerbaijan 0 1000 t compare
  62. 11 Finland 0 1000 t compare
  63. 11 Congo 0 1000 t compare
  64. 11 Uruguay 0 1000 t compare
  65. 11 Paraguay 0 1000 t compare
  66. 11 Namibia 0 1000 t compare
  67. 11 Algeria 0 1000 t compare
  68. 11 Slovak Republic 0 1000 t compare
  69. 11 Latvia 0 1000 t compare
  70. 11 Ukraine 0 1000 t compare
  71. 11 Luxembourg 0 1000 t compare
  72. 11 Antigua and Barbuda 0 1000 t compare
  73. 11 Barbados 0 1000 t compare
  74. 11 Burkina Faso 0 1000 t compare
  75. 11 Chile 0 1000 t compare
  76. 11 Ireland 0 1000 t compare
  77. 11 Serbia 0 1000 t compare
  78. 11 Tunisia 0 1000 t compare
  79. 11 Croatia 0 1000 t compare
  80. 11 Czechia 0 1000 t compare
  81. 11 Argentina 0 1000 t compare
  82. 11 Norway 0 1000 t compare
  83. 11 Saudi Arabia 0 1000 t compare
  84. 11 Myanmar 0 1000 t compare
  85. 11 Panama 0 1000 t compare
  86. 11 Slovenia 0 1000 t compare
  87. 11 Mauritius 0 1000 t compare
  88. 11 Bulgaria 0 1000 t compare
  89. 11 Israel 0 1000 t compare
  90. 11 Belgium 0 1000 t compare
  91. 11 Netherlands (Kingdom of the) 0 1000 t compare
  92. 11 Dominican Republic 0 1000 t compare
  93. 11 Belize 0 1000 t compare
  94. 11 Nicaragua 0 1000 t compare
  95. 11 Rwanda 0 1000 t compare
  96. 11 Romania 0 1000 t compare
  97. 11 Jamaica 0 1000 t compare
  98. 11 Poland 0 1000 t compare
  99. 11 Yemen 0 1000 t compare
  100. 11 Denmark 0 1000 t compare
  101. 11 Switzerland 0 1000 t compare
  102. 11 Portugal 0 1000 t compare
  103. 11 Malawi 0 1000 t compare
  104. 11 El Salvador 0 1000 t compare
  105. 11 Russian Federation 0 1000 t compare
  106. 11 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  107. 11 Madagascar 0 1000 t compare
  108. 11 Zambia 0 1000 t compare
  109. 11 New Zealand 0 1000 t compare
  110. 11 Canada 0 1000 t compare
  111. 11 Trinidad and Tobago 0 1000 t compare
  112. 11 Lebanon 0 1000 t compare
  113. 11 Mozambique 0 1000 t compare
  114. 11 Malta 0 1000 t compare
  115. 11 Austria 0 1000 t compare
  116. 11 France 0 1000 t compare
  117. 11 Malaysia 0 1000 t compare
  118. 11 Fiji 0 1000 t compare
  119. 11 Sweden 0 1000 t compare
  120. 11 Ghana 0 1000 t compare
  121. 11 Kazakhstan 0 1000 t compare
  122. 11 Botswana 0 1000 t compare
  123. 11 Ecuador 0 1000 t compare
  124. 11 Hungary 0 1000 t compare
  125. 11 China, Taiwan Province of 0 1000 t compare
  126. 11 Morocco 0 1000 t compare
  127. 11 Australia 0 1000 t compare
  128. 11 Greece 0 1000 t compare
  129. 11 Germany 0 1000 t compare
  130. 11 Cameroon 0 1000 t compare
  131. 11 Cyprus 0 1000 t compare
  132. 11 Cambodia 0 1000 t compare
  133. 11 Bangladesh 0 1000 t compare
  134. 11 Nigeria 0 1000 t compare
  135. 11 Uganda 0 1000 t compare
  136. 11 Honduras 0 1000 t compare
  137. 11 Costa Rica 0 1000 t compare
  138. 11 Sri Lanka 0 1000 t compare
  139. 11 Peru 0 1000 t compare
  140. 11 Spain 0 1000 t compare
  141. 11 India 0 1000 t compare
  142. 11 Brazil 0 1000 t compare
  143. 11 Mexico 0 1000 t compare
  144. 11 Egypt 0 1000 t compare
  145. 11 Guatemala 0 1000 t compare
  146. 11 Australia and New Zealand 0 1000 t compare
  147. 11 Indonesia 0 1000 t compare
  148. 11 Colombia 0 1000 t compare

See the full ranking of 212 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is tea (including mate) — stock variation in South America?
Tea (including mate) — stock variation in South America was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest tea (including mate) — stock variation recorded in South America?
The highest recorded value was 182 1000 t in 2016.
What is the lowest tea (including mate) — stock variation recorded in South America?
The lowest recorded value was -99 1000 t in 2011.
How does South America rank for tea (including mate) — stock variation?
South America ranks 9th out of 38 regions with data for 2023.
Is tea (including mate) — stock variation rising or falling in South America?
Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
Where does this South America data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Tea (including mate) — Stock Variation. Statizoid updates them automatically from the source API.

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Tea (including mate) — Stock Variation in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://agriculture.statizoid.com/stat/tea-including-mate-stock-variation/south-america/

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About this data

Indicator
Tea (including mate) — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,856 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.