Statizoid

Tea (including mate) — Stock Variation in Southern Asia

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

Latest (2023)
0 1000 t
Change on year
up 100.0%
Rank
12th
of 30 groups
All-time high
94 1000 t
in 2013
All-time low
-169 1000 t
in 2020
Years of data
14
2010–2023

Tea (including mate) — Stock Variation in Southern Asia, 2010–2023

-200-10001002010201620232010: -31 1000 t2011: -40 1000 t2012: 73 1000 t2013: 94 1000 t2014: -64 1000 t2015: 77 1000 t2016: -14 1000 t2017: -30 1000 t2018: -40 1000 t2019: 7 1000 t2020: -169 1000 t2021: -14 1000 t2022: -2 1000 t2023: 0 1000 t

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

Analysis

Southern Asia recorded 0 1000 t for tea (including mate) — stock variation in 2023.

The figure is up 100.0% on the previous year and down 100.0% over ten years.

Over the whole period, tea (including mate) — stock variation in Southern Asia peaked at 94 1000 t in 2013 and was at its lowest, -169 1000 t, in 2020.

Southern Asia ranks 12th of 30 groups on this measure, in the middle of the range.

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

Tea (including mate) — Stock Variation in Southern Asia, year by year

Year 1000 t Change
2010 -31 1000 t —
2011 -40 1000 t +29.0%
2012 73 1000 t -282.5%
2013 94 1000 t +28.8%
2014 -64 1000 t -168.1%
2015 77 1000 t -220.3%
2016 -14 1000 t -118.2%
2017 -30 1000 t +114.3%
2018 -40 1000 t +33.3%
2019 7 1000 t -117.5%
2020 -169 1000 t -2514.3%
2021 -14 1000 t -91.7%
2022 -2 1000 t -85.7%
2023 0 1000 t -100.0%

Biggest year-on-year movements

Years where Tea (including mate) — Stock Variation in Southern Asia changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.

YearChange FromTo
2020 -2514.3% 7 1000 t -169 1000 t

Averages by decade

DecadeAverage LowestHighest Years
2010s 3.2 1000 t -64 1000 t 94 1000 t 10
2020s -46.25 1000 t -169 1000 t 0 1000 t 4

Countries ranked near Southern Asia

  1. 10 Mauritania 1 1000 t compare
  2. 10 Syrian Arab Republic 1 1000 t compare
  3. 10 Italy 1 1000 t compare
  4. 10 Nepal 1 1000 t compare
  5. 10 Syria 1 1000 t compare
  6. 15 Micronesia (Federated States of) 0 1000 t
  7. 15 Tuvalu 0 1000 t
  8. 15 Nauru 0 1000 t
  9. 15 Tonga 0 1000 t
  10. 15 Marshall Islands 0 1000 t
  11. 15 Bhutan 0 1000 t
  12. 15 Qatar 0 1000 t
  13. 15 Bahrain 0 1000 t compare
  14. 15 Cuba 0 1000 t
  15. 15 Turkmenistan 0 1000 t compare
  16. 15 Timor-Leste 0 1000 t
  17. 15 Kiribati 0 1000 t
  18. 15 Lesotho 0 1000 t
  19. 15 Comoros 0 1000 t
  20. 15 Djibouti 0 1000 t
  21. 15 Guinea-Bissau 0 1000 t
  22. 15 Sao Tome and Principe 0 1000 t
  23. 15 Tajikistan 0 1000 t compare
  24. 15 China, Macao SAR 0 1000 t
  25. 15 Micronesia 0 1000 t
  26. 15 Liberia 0 1000 t
  27. 15 Afghanistan 0 1000 t compare
  28. 15 Mongolia 0 1000 t compare
  29. 15 Saint Kitts and Nevis 0 1000 t
  30. 15 Solomon Islands 0 1000 t
  31. 15 Gambia 0 1000 t compare
  32. 15 Albania 0 1000 t
  33. 15 Libya 0 1000 t compare
  34. 15 Sierra Leone 0 1000 t
  35. 15 Vanuatu 0 1000 t
  36. 15 Suriname 0 1000 t
  37. 15 Cabo Verde 0 1000 t
  38. 15 Montenegro 0 1000 t
  39. 15 Maldives 0 1000 t
  40. 15 Saint Vincent and the Grenadines 0 1000 t
  41. 15 Armenia 0 1000 t
  42. 15 Kuwait 0 1000 t compare
  43. 15 Iceland 0 1000 t
  44. 15 Seychelles 0 1000 t
  45. 15 French Polynesia 0 1000 t
  46. 15 Grenada 0 1000 t
  47. 15 Samoa 0 1000 t
  48. 15 Estonia 0 1000 t
  49. 15 Gabon 0 1000 t
  50. 15 Guyana 0 1000 t
  51. 15 Eswatini 0 1000 t compare
  52. 15 Georgia 0 1000 t compare
  53. 15 Bosnia and Herzegovina 0 1000 t
  54. 15 Lithuania 0 1000 t
  55. 15 Haiti 0 1000 t
  56. 15 Republic of Moldova 0 1000 t
  57. 15 Papua New Guinea 0 1000 t compare
  58. 15 Saint Lucia 0 1000 t
  59. 15 North Macedonia 0 1000 t
  60. 15 Guinea 0 1000 t compare
  61. 15 Jordan 0 1000 t compare
  62. 15 Niger 0 1000 t compare
  63. 15 Angola 0 1000 t compare
  64. 15 Oman 0 1000 t compare
  65. 15 Bahamas 0 1000 t
  66. 15 Iraq 0 1000 t compare
  67. 15 New Caledonia 0 1000 t
  68. 15 Azerbaijan 0 1000 t compare
  69. 15 Finland 0 1000 t
  70. 15 Congo 0 1000 t
  71. 15 Uruguay 0 1000 t compare
  72. 15 Paraguay 0 1000 t compare
  73. 15 Namibia 0 1000 t compare
  74. 15 Algeria 0 1000 t compare
  75. 15 Slovakia 0 1000 t
  76. 15 Latvia 0 1000 t
  77. 15 Ukraine 0 1000 t compare
  78. 15 Luxembourg 0 1000 t
  79. 15 Antigua and Barbuda 0 1000 t
  80. 15 Viet Nam 0 1000 t compare
  81. 15 Barbados 0 1000 t
  82. 15 Burkina Faso 0 1000 t compare
  83. 15 Chile 0 1000 t compare
  84. 15 Ireland 0 1000 t compare
  85. 15 Serbia 0 1000 t
  86. 15 Tunisia 0 1000 t compare
  87. 15 Croatia 0 1000 t
  88. 15 Czechia 0 1000 t compare
  89. 15 Argentina 0 1000 t compare
  90. 15 Norway 0 1000 t
  91. 15 Saudi Arabia 0 1000 t compare
  92. 15 Myanmar 0 1000 t compare
  93. 15 Panama 0 1000 t
  94. 15 Slovenia 0 1000 t
  95. 15 Mauritius 0 1000 t
  96. 15 Bulgaria 0 1000 t compare
  97. 15 Israel 0 1000 t
  98. 15 Belgium 0 1000 t compare
  99. 15 Netherlands (Kingdom of the) 0 1000 t compare
  100. 15 Dominican Republic 0 1000 t
  101. 15 Belize 0 1000 t
  102. 15 Nicaragua 0 1000 t
  103. 15 Rwanda 0 1000 t compare
  104. 15 Romania 0 1000 t
  105. 15 Jamaica 0 1000 t
  106. 15 Poland 0 1000 t compare
  107. 15 Iran (Islamic Republic of) 0 1000 t compare
  108. 15 Yemen 0 1000 t compare
  109. 15 Denmark 0 1000 t compare
  110. 15 Switzerland 0 1000 t
  111. 15 Portugal 0 1000 t compare
  112. 15 Malawi 0 1000 t compare
  113. 15 El Salvador 0 1000 t
  114. 15 Russian Federation 0 1000 t compare
  115. 15 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  116. 15 Madagascar 0 1000 t
  117. 15 Zambia 0 1000 t
  118. 15 New Zealand 0 1000 t compare
  119. 15 Canada 0 1000 t compare
  120. 15 Trinidad and Tobago 0 1000 t
  121. 15 Lebanon 0 1000 t compare
  122. 15 Mozambique 0 1000 t compare
  123. 15 Malta 0 1000 t
  124. 15 Democratic Republic of the Congo 0 1000 t compare
  125. 15 Austria 0 1000 t compare
  126. 15 France 0 1000 t
  127. 15 Malaysia 0 1000 t
  128. 15 Fiji 0 1000 t
  129. 15 Sweden 0 1000 t
  130. 15 Ghana 0 1000 t compare
  131. 15 Kazakhstan 0 1000 t compare
  132. 15 Bolivia (Plurinational State of) 0 1000 t
  133. 15 Botswana 0 1000 t
  134. 15 Ecuador 0 1000 t
  135. 15 Hungary 0 1000 t compare
  136. 15 China, Taiwan Province of 0 1000 t compare
  137. 15 Morocco 0 1000 t compare
  138. 15 Australia 0 1000 t compare
  139. 15 Venezuela (Bolivarian Republic of) 0 1000 t
  140. 15 Polynesia 0 1000 t
  141. 15 Greece 0 1000 t compare
  142. 15 Côte d'Ivoire 0 1000 t compare
  143. 15 Germany 0 1000 t compare
  144. 15 Cameroon 0 1000 t compare
  145. 15 Cyprus 0 1000 t
  146. 15 Cambodia 0 1000 t
  147. 15 Bangladesh 0 1000 t compare
  148. 15 Nigeria 0 1000 t compare
  149. 15 Uganda 0 1000 t
  150. 15 Honduras 0 1000 t
  151. 15 Costa Rica 0 1000 t compare
  152. 15 Sri Lanka 0 1000 t compare
  153. 15 Peru 0 1000 t compare
  154. 15 Spain 0 1000 t compare
  155. 15 India 0 1000 t compare
  156. 15 Brazil 0 1000 t compare
  157. 15 Mexico 0 1000 t compare
  158. 15 Egypt 0 1000 t compare
  159. 15 Guatemala 0 1000 t
  160. 15 Australia and New Zealand 0 1000 t compare
  161. 15 Indonesia 0 1000 t compare
  162. 15 Colombia 0 1000 t
  163. 15 Melanesia 0 1000 t compare
  164. 15 Caribbean 0 1000 t
  165. 15 Nauru 0 1000 t
  166. 15 East Timor 0 1000 t
  167. 15 Moldova 0 1000 t
  168. 15 Vietnam 0 1000 t compare
  169. 15 Russia 0 1000 t compare
  170. 15 United Kingdom 0 1000 t compare
  171. 15 Cote d'Ivoire 0 1000 t compare

See the full ranking of 223 places →

More agriculture & rural data for Southern Asia

All data for Southern Asia →

Frequently asked questions

What is tea (including mate) — stock variation in Southern Asia?
Tea (including mate) — stock variation in Southern Asia 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 Southern Asia?
The highest recorded value was 94 1000 t in 2013.
What is the lowest tea (including mate) — stock variation recorded in Southern Asia?
The lowest recorded value was -169 1000 t in 2020.
How does Southern Asia rank for tea (including mate) — stock variation?
Southern Asia ranks 12th out of 30 groups with data for 2023.
Is tea (including mate) — stock variation rising or falling in Southern Asia?
Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
Where does this Southern Asia 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 Southern Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/tea-including-mate-stock-variation/southern-asia/

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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
223 places, 2,997 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.