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Coffee and products — Residuals in Viet Nam

Viet Nam: Coffee and products — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Rank
1st
of 20 regions
All-time high
0 1000 t
in 2021
All-time low
-531 1000 t
in 2012
Years of data
14
2010–2023

Coffee and products — Residuals in Viet Nam, 2010–2023

-600-400-20002010201620232010: -168 1000 t2011: -45 1000 t2012: -531 1000 t2013: -35 1000 t2014: -288 1000 t2015: -161 1000 t2016: -384 1000 t2017: -268 1000 t2018: -192 1000 t2019: -122 1000 t2020: -322 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 coffee and products — residuals in Viet Nam is 0 1000 t, measured in 2023. That is the highest value across all 14 years on record.

Compared with earlier readings it is up 100.0% over ten years.

Over the whole period, coffee and products — residuals in Viet Nam peaked at 0 1000 t in 2021 and was at its lowest, -531 1000 t, in 2012.

Viet Nam ranks 1st of 20 regions on this measure, in the top 10%.

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

Coffee and products — Residuals in Viet Nam, year by year

Year 1000 t Change
2010 -168 1000 t —
2011 -45 1000 t -73.2%
2012 -531 1000 t +1080.0%
2013 -35 1000 t -93.4%
2014 -288 1000 t +722.9%
2015 -161 1000 t -44.1%
2016 -384 1000 t +138.5%
2017 -268 1000 t -30.2%
2018 -192 1000 t -28.4%
2019 -122 1000 t -36.5%
2020 -322 1000 t +163.9%
2021 0 1000 t -100.0%
2022 0 1000 t —
2023 0 1000 t —

Averages by decade

DecadeAverage LowestHighest Years
2010s -219.4 1000 t -531 1000 t -35 1000 t 10
2020s -80.5 1000 t -322 1000 t 0 1000 t 4

Countries ranked near Viet Nam

  1. 1 Tuvalu 0 1000 t
  2. 1 Naoero 0 1000 t
  3. 1 Tonga 0 1000 t
  4. 1 Marshall Islands 0 1000 t
  5. 1 Bhutan 0 1000 t
  6. 1 Qatar 0 1000 t
  7. 1 Bahrain 0 1000 t
  8. 1 Cuba 0 1000 t
  9. 1 Turkmenistan 0 1000 t
  10. 1 Kiribati 0 1000 t
  11. 1 Lesotho 0 1000 t compare
  12. 1 Comoros 0 1000 t
  13. 1 Djibouti 0 1000 t compare
  14. 1 Guinea-Bissau 0 1000 t
  15. 1 Sao Tome and Principe 0 1000 t
  16. 1 Tajikistan 0 1000 t
  17. 1 China, Macao SAR 0 1000 t
  18. 1 Liberia 0 1000 t
  19. 1 Mauritania 0 1000 t
  20. 1 Afghanistan 0 1000 t
  21. 1 Mongolia 0 1000 t
  22. 1 Saint Kitts and Nevis 0 1000 t
  23. 1 Solomon Islands 0 1000 t
  24. 1 Gambia 0 1000 t
  25. 1 Libya 0 1000 t
  26. 1 Albania 0 1000 t
  27. 1 Sierra Leone 0 1000 t compare
  28. 1 Vanuatu 0 1000 t
  29. 1 Suriname 0 1000 t
  30. 1 Montenegro 0 1000 t
  31. 1 Saint Vincent and the Grenadines 0 1000 t
  32. 1 Maldives 0 1000 t
  33. 1 Armenia 0 1000 t
  34. 1 Kuwait 0 1000 t
  35. 1 Iceland 0 1000 t
  36. 1 Seychelles 0 1000 t
  37. 1 Kyrgyzstan 0 1000 t
  38. 1 French Polynesia 0 1000 t
  39. 1 Grenada 0 1000 t
  40. 1 Uzbekistan 0 1000 t
  41. 1 Samoa 0 1000 t
  42. 1 Gabon 0 1000 t
  43. 1 Estonia 0 1000 t
  44. 1 Guyana 0 1000 t
  45. 1 Georgia 0 1000 t
  46. 1 Eswatini 0 1000 t
  47. 1 Bosnia and Herzegovina 0 1000 t
  48. 1 Lithuania 0 1000 t
  49. 1 Haiti 0 1000 t
  50. 1 Papua New Guinea 0 1000 t compare
  51. 1 Saint Lucia 0 1000 t
  52. 1 Guinea 0 1000 t compare
  53. 1 North Macedonia 0 1000 t
  54. 1 Angola 0 1000 t
  55. 1 Jordan 0 1000 t
  56. 1 Niger 0 1000 t
  57. 1 Bahamas 0 1000 t
  58. 1 Oman 0 1000 t compare
  59. 1 New Caledonia 0 1000 t
  60. 1 Azerbaijan 0 1000 t
  61. 1 Congo 0 1000 t compare
  62. 1 Finland 0 1000 t
  63. 1 Iraq 0 1000 t
  64. 1 Belarus 0 1000 t
  65. 1 Uruguay 0 1000 t
  66. 1 Paraguay 0 1000 t
  67. 1 Algeria 0 1000 t
  68. 1 Slovak Republic 0 1000 t
  69. 1 Namibia 0 1000 t
  70. 1 Latvia 0 1000 t compare
  71. 1 Ukraine 0 1000 t compare
  72. 1 Antigua and Barbuda 0 1000 t
  73. 1 Luxembourg 0 1000 t
  74. 1 Barbados 0 1000 t
  75. 1 Ireland 0 1000 t
  76. 1 Chile 0 1000 t
  77. 1 Serbia 0 1000 t
  78. 1 Tunisia 0 1000 t
  79. 1 Argentina 0 1000 t
  80. 1 Croatia 0 1000 t compare
  81. 1 Norway 0 1000 t
  82. 1 Saudi Arabia 0 1000 t
  83. 1 Myanmar 0 1000 t
  84. 1 Panama 0 1000 t compare
  85. 1 Slovenia 0 1000 t
  86. 1 Mauritius 0 1000 t
  87. 1 Bulgaria 0 1000 t
  88. 1 Dominican Republic 0 1000 t
  89. 1 Israel 0 1000 t
  90. 1 Belgium 0 1000 t
  91. 1 Netherlands (Kingdom of the) 0 1000 t
  92. 1 Belize 0 1000 t compare
  93. 1 Jamaica 0 1000 t
  94. 1 Rwanda 0 1000 t
  95. 1 China, Hong Kong SAR 0 1000 t compare
  96. 1 Romania 0 1000 t
  97. 1 Poland 0 1000 t compare
  98. 1 Denmark 0 1000 t
  99. 1 Yemen 0 1000 t
  100. 1 Portugal 0 1000 t
  101. 1 Switzerland 0 1000 t
  102. 1 El Salvador 0 1000 t compare
  103. 1 Madagascar 0 1000 t
  104. 1 Malawi 0 1000 t compare
  105. 1 United Kingdom of Great Britain and Northern Ireland 0 1000 t
  106. 1 Russian Federation 0 1000 t
  107. 1 Trinidad and Tobago 0 1000 t
  108. 1 New Zealand 0 1000 t
  109. 1 Canada 0 1000 t
  110. 1 Mozambique 0 1000 t
  111. 1 Malta 0 1000 t
  112. 1 Lebanon 0 1000 t
  113. 1 Austria 0 1000 t
  114. 1 France 0 1000 t
  115. 1 Fiji 0 1000 t
  116. 1 Sweden 0 1000 t
  117. 1 Kazakhstan 0 1000 t
  118. 1 China, Taiwan Province of 0 1000 t compare
  119. 1 Botswana 0 1000 t
  120. 1 Morocco 0 1000 t
  121. 1 Australia 0 1000 t
  122. 1 Senegal 0 1000 t
  123. 1 Greece 0 1000 t compare
  124. 1 Zimbabwe 0 1000 t
  125. 1 Ethiopia 0 1000 t
  126. 1 Cameroon 0 1000 t compare
  127. 1 Germany 0 1000 t
  128. 1 Cyprus 0 1000 t
  129. 1 Cambodia 0 1000 t
  130. 1 Bangladesh 0 1000 t
  131. 1 Italy 0 1000 t
  132. 1 South Africa 0 1000 t
  133. 1 Nigeria 0 1000 t
  134. 1 Republic of Korea 0 1000 t
  135. 1 Pakistan 0 1000 t
  136. 1 Uganda 0 1000 t compare
  137. 1 Honduras 0 1000 t
  138. 1 Sri Lanka 0 1000 t
  139. 1 Costa Rica 0 1000 t compare
  140. 1 Philippines 0 1000 t
  141. 1 Peru 0 1000 t
  142. 1 Spain 0 1000 t compare
  143. 1 Brazil 0 1000 t
  144. 1 Thailand 0 1000 t compare
  145. 1 Mexico 0 1000 t compare
  146. 1 China, mainland 0 1000 t compare
  147. 1 Guatemala 0 1000 t
  148. 1 Australia and New Zealand 0 1000 t
  149. 1 Colombia 0 1000 t compare
  150. 1 Nepal 0 1000 t
  151. 1 China (People’s Republic of) 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 coffee and products — residuals in Viet Nam?
Coffee and products — residuals in Viet Nam was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest coffee and products — residuals recorded in Viet Nam?
The highest recorded value was 0 1000 t in 2021.
What is the lowest coffee and products — residuals recorded in Viet Nam?
The lowest recorded value was -531 1000 t in 2012.
How does Viet Nam rank for coffee and products — residuals?
Viet Nam ranks 1st out of 20 regions with data for 2023.
Is coffee and products — residuals rising or falling in Viet Nam?
Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
Where does this Viet Nam data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Coffee and products — Residuals. Statizoid updates them automatically from the source API.

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Coffee and products — Residuals in Viet Nam. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 23 August 2026, from https://agriculture.statizoid.com/stat/coffee-and-products-residuals/viet-nam-2/

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About this data

Indicator
Coffee and products — 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.