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Sugar & Sweeteners — Residuals in Viet Nam

Viet Nam: Sugar & Sweeteners — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Change on year
up 100.0%
Rank
3rd
of 20 regions
All-time high
0 1000 t
in 2012
All-time low
-18 1000 t
in 2014
Years of data
14
2010–2023

Sugar & Sweeteners — Residuals in Viet Nam, 2010–2023

-20-15-10-502010201620232010: -1 1000 t2011: -1 1000 t2012: 0 1000 t2013: 0 1000 t2014: -18 1000 t2015: -7 1000 t2016: -2 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 1000 t2020: -8 1000 t2021: -15 1000 t2022: -6 1000 t2023: 0 1000 t

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

Analysis

The most recent figure for sugar & sweeteners — residuals in Viet Nam is 0 1000 t, measured in 2023. That is the highest value across all 14 years on record.

The figure is up 100.0% on the previous year.

Over the whole period, sugar & sweeteners — residuals in Viet Nam peaked at 0 1000 t in 2012 and was at its lowest, -18 1000 t, in 2014.

That places Viet Nam 3rd out of 20 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.

Sugar & Sweeteners — Residuals in Viet Nam, year by year

Year 1000 t Change
2010 -1 1000 t —
2011 -1 1000 t -0.0%
2012 0 1000 t -100.0%
2013 0 1000 t —
2014 -18 1000 t —
2015 -7 1000 t -61.1%
2016 -2 1000 t -71.4%
2017 0 1000 t -100.0%
2018 0 1000 t —
2019 0 1000 t —
2020 -8 1000 t —
2021 -15 1000 t +87.5%
2022 -6 1000 t -60.0%
2023 0 1000 t -100.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s -2.9 1000 t -18 1000 t 0 1000 t 10
2020s -7.25 1000 t -15 1000 t 0 1000 t 4

Countries ranked near Viet Nam

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

See the full ranking of 213 places →

More agriculture & rural data for Viet Nam

All data for Viet Nam →

Frequently asked questions

What is sugar & sweeteners — residuals in Viet Nam?
Sugar & sweeteners — residuals in Viet Nam was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest sugar & sweeteners — residuals recorded in Viet Nam?
The highest recorded value was 0 1000 t in 2012.
What is the lowest sugar & sweeteners — residuals recorded in Viet Nam?
The lowest recorded value was -18 1000 t in 2014.
How does Viet Nam rank for sugar & sweeteners — residuals?
Viet Nam ranks 3rd out of 20 regions with data for 2023.
Where does this Viet Nam data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar & Sweeteners — Residuals. Statizoid updates them automatically from the source API.

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Sugar & Sweeteners — Residuals in Viet Nam. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 25 August 2026, from https://agriculture.statizoid.com/stat/sugar-and-sweeteners-residuals/viet-nam-2/

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About this data

Indicator
Sugar & Sweeteners — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,901 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.