Tea (including mate) — Stock Variation in Oceania

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

Latest (2023)
0 1000 t
Rank
12th
of 31 groups
All-time high
0 1000 t
in 2013
All-time low
-2 1000 t
in 2011
Years of data
14
2010–2023

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

-2-1.5-1-0.502010201620232010: -1 1000 t2011: -2 1000 t2012: -2 1000 t2013: 0 1000 t2014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 1000 t2020: 0 1000 t2021: 0 1000 t2022: 0 1000 t2023: 0 1000 t

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

Analysis

Oceania recorded 0 1000 t for tea (including mate) — stock variation in 2023. That is the highest value across all 14 years on record.

Over the whole period, tea (including mate) — stock variation in Oceania peaked at 0 1000 t in 2013 and was at its lowest, -2 1000 t, in 2011.

Oceania ranks 12th of 31 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.

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.5 1000 t -2 1000 t 0 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Oceania

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

See the full ranking of 212 places →

More agriculture & rural data for Oceania

All data for Oceania →

Frequently asked questions

What is tea (including mate) — stock variation in Oceania?
Tea (including mate) — stock variation in Oceania 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 Oceania?
The highest recorded value was 0 1000 t in 2013.
What is the lowest tea (including mate) — stock variation recorded in Oceania?
The lowest recorded value was -2 1000 t in 2011.
How does Oceania rank for tea (including mate) — stock variation?
Oceania ranks 12th out of 31 groups with data for 2023.
Where does this Oceania 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.

Download this data

CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

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.