Statizoid

Wine — Stock Variation in Polynesia

Polynesia: Wine — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
World rank
33rd
of 180 countries
All-time high
0 1000 t
in 2010
All-time low
-1 1000 t
in 2014
Years of data
14
2010–2023

Wine — Stock Variation in Polynesia, 2010–2023

-1-0.8-0.6-0.4-0.2-02010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: -1 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

The most recent figure for wine — stock variation in Polynesia is 0 1000 t, measured in 2023. That is the highest value across all 14 years on record.

Over the whole period, wine — stock variation in Polynesia peaked at 0 1000 t in 2010 and was at its lowest, -1 1000 t, in 2014.

Polynesia ranks 33rd of 180 countries on this measure, 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 -0.1 1000 t -1 1000 t 0 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Polynesia

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

See the full ranking of 211 places →

More agriculture & rural data for Polynesia

All data for Polynesia →

Frequently asked questions

What is wine — stock variation in Polynesia?
Wine — stock variation in Polynesia was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest wine — stock variation recorded in Polynesia?
The highest recorded value was 0 1000 t in 2010.
What is the lowest wine — stock variation recorded in Polynesia?
The lowest recorded value was -1 1000 t in 2014.
How does Polynesia rank for wine — stock variation?
Polynesia ranks 33rd out of 180 countries with data for 2023.
Where does this Polynesia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Wine — Stock Variation. Statizoid updates them automatically from the source API.

Download this data

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About this data

Indicator
Wine — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
211 places, 2,845 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.