Sugar Crops — Stock Variation in Polynesia

Polynesia: Sugar Crops — Stock Variation was 0 1000 t in 2020. ▬ Flat

Latest (2020)
0 1000 t
World rank
23rd
of 126 countries
All-time high
0 1000 t
in 2013
All-time low
0 1000 t
in 2013
Years of data
8
2013–2020

Sugar Crops — Stock Variation in Polynesia, 2013–2020

00.20.40.60.812013201620202013: 0 1000 t2014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 1000 t2020: 0 1000 t

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

Analysis

In 2020, sugar crops — stock variation in Polynesia stood at 0 1000 t. That is the highest value across all 8 years on record.

Polynesia ranks 23rd of 126 countries on this measure, in the top quarter.

Averages by decade

DecadeAverage LowestHighest Years
2010s 0 1000 t 0 1000 t 0 1000 t 7
2020s 0 1000 t 0 1000 t 0 1000 t 1

Countries ranked near Polynesia

  1. 20 Italy 13 1000 t compare
  2. 21 Luxembourg 1 1000 t compare
  3. 21 Pakistan 1 1000 t compare
  4. 23 Marshall Islands 0 1000 t
  5. 23 Bahrain 0 1000 t
  6. 23 Kiribati 0 1000 t compare
  7. 23 Afghanistan 0 1000 t compare
  8. 23 Libya 0 1000 t compare
  9. 23 Micronesia 0 1000 t compare
  10. 23 Jordan 0 1000 t compare
  11. 23 Albania 0 1000 t compare
  12. 23 Solomon Islands 0 1000 t compare
  13. 23 Iraq 0 1000 t compare
  14. 23 Uzbekistan 0 1000 t compare
  15. 23 Armenia 0 1000 t compare
  16. 23 Kuwait 0 1000 t compare
  17. 23 Iceland 0 1000 t compare
  18. 23 Samoa 0 1000 t compare
  19. 23 Azerbaijan 0 1000 t compare
  20. 23 Argentina 0 1000 t compare
  21. 23 North Macedonia 0 1000 t compare
  22. 23 Kyrgyzstan 0 1000 t compare
  23. 23 Bahamas 0 1000 t compare
  24. 23 Israel 0 1000 t compare
  25. 23 Algeria 0 1000 t compare
  26. 23 Ireland 0 1000 t compare
  27. 23 Gambia 0 1000 t compare
  28. 23 Croatia 0 1000 t compare
  29. 23 Georgia 0 1000 t compare
  30. 23 Montenegro 0 1000 t compare
  31. 23 China, Hong Kong SAR 0 1000 t compare
  32. 23 Bosnia and Herzegovina 0 1000 t compare
  33. 23 Estonia 0 1000 t compare
  34. 23 Congo 0 1000 t compare
  35. 23 Finland 0 1000 t compare
  36. 23 Maldives 0 1000 t compare
  37. 23 Saudi Arabia 0 1000 t compare
  38. 23 El Salvador 0 1000 t compare
  39. 23 Lebanon 0 1000 t compare
  40. 23 Malta 0 1000 t compare
  41. 23 Latvia 0 1000 t compare
  42. 23 Bulgaria 0 1000 t compare
  43. 23 Cyprus 0 1000 t
  44. 23 Tunisia 0 1000 t compare
  45. 23 Norway 0 1000 t compare
  46. 23 Eswatini 0 1000 t compare
  47. 23 United Arab Emirates 0 1000 t compare
  48. 23 Malaysia 0 1000 t compare
  49. 23 Oman 0 1000 t compare
  50. 23 Czechia 0 1000 t compare
  51. 23 Denmark 0 1000 t compare
  52. 23 Uruguay 0 1000 t compare
  53. 23 Lithuania 0 1000 t compare
  54. 23 Slovakia 0 1000 t compare
  55. 23 Yemen 0 1000 t compare
  56. 23 Panama 0 1000 t compare
  57. 23 Greece 0 1000 t compare
  58. 23 Slovenia 0 1000 t compare
  59. 23 Costa Rica 0 1000 t compare
  60. 23 Bangladesh 0 1000 t compare
  61. 23 Ecuador 0 1000 t compare
  62. 23 Fiji 0 1000 t compare
  63. 23 Sweden 0 1000 t compare
  64. 23 Venezuela (Bolivarian Republic of) 0 1000 t compare
  65. 23 Romania 0 1000 t compare
  66. 23 Hungary 0 1000 t compare
  67. 23 Germany 0 1000 t compare
  68. 23 Jamaica 0 1000 t compare
  69. 23 Philippines 0 1000 t compare
  70. 23 New Zealand 0 1000 t compare
  71. 23 India 0 1000 t compare
  72. 23 Namibia 0 1000 t compare
  73. 23 Peru 0 1000 t compare
  74. 23 Mexico 0 1000 t compare
  75. 23 Canada 0 1000 t compare
  76. 23 Brazil 0 1000 t compare
  77. 23 Portugal 0 1000 t compare
  78. 23 Niger 0 1000 t compare
  79. 23 Guatemala 0 1000 t compare
  80. 23 Sri Lanka 0 1000 t compare
  81. 23 Republic of Korea 0 1000 t compare
  82. 23 Thailand 0 1000 t compare
  83. 23 China, Taiwan Province of 0 1000 t compare
  84. 23 Zambia 0 1000 t compare
  85. 23 Botswana 0 1000 t compare
  86. 23 Colombia 0 1000 t compare
  87. 23 Zimbabwe 0 1000 t compare
  88. 23 Indonesia 0 1000 t compare
  89. 23 Ghana 0 1000 t compare
  90. 23 Côte d'Ivoire 0 1000 t compare
  91. 23 Senegal 0 1000 t compare
  92. 23 Uganda 0 1000 t compare
  93. 23 Ethiopia 0 1000 t compare
  94. 23 Nepal 0 1000 t compare
  95. 23 Rwanda 0 1000 t compare
  96. 23 United Republic of Tanzania 0 1000 t compare
  97. 23 Kenya 0 1000 t compare
  98. 23 Melanesia 0 1000 t compare
  99. 23 Caribbean 0 1000 t compare

See the full ranking of 157 places →

More agriculture & rural data for Polynesia

All data for Polynesia →

Frequently asked questions

What is sugar crops — stock variation in Polynesia?
Sugar crops — stock variation in Polynesia was 0 1000 t in 2020, according to Food and Agriculture Organization of the United Nations.
What is the highest sugar crops — stock variation recorded in Polynesia?
The highest recorded value was 0 1000 t in 2013.
What is the lowest sugar crops — stock variation recorded in Polynesia?
The lowest recorded value was 0 1000 t in 2013.
How does Polynesia rank for sugar crops — stock variation?
Polynesia ranks 23rd out of 126 countries with data for 2020.
Where does this Polynesia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar Crops — Stock Variation. Statizoid updates them automatically from the source API.

Download this data

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About this data

Indicator
Sugar Crops — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
157 places, 1,885 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.