Bananas — Residuals in Asia

Asia: Bananas — Residuals was 171 1000 t in 2023. ◆ Volatile

Latest (2023)
171 1000 t
Change on year
up 16.3%
Rank
4th
of 30 groups
All-time high
171 1000 t
in 2023
All-time low
-233 1000 t
in 2017
Years of data
14
2010–2023

Bananas — Residuals in Asia, 2010–2023

-200-10001002002010201620232010: -18 1000 t2011: 5 1000 t2012: 6 1000 t2013: 6 1000 t2014: -30 1000 t2015: -66 1000 t2016: -109 1000 t2017: -233 1000 t2018: -189 1000 t2019: 78 1000 t2020: -70 1000 t2021: 112 1000 t2022: 147 1000 t2023: 171 1000 t

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

Analysis

The most recent figure for bananas — residuals in Asia is 171 1000 t, measured in 2023. That is the highest value across all 14 years on record.

The figure is up 16.3% on the previous year and up 2,750.0% over ten years.

Over the whole period, bananas — residuals in Asia peaked at 171 1000 t in 2023 and was at its lowest, -233 1000 t, in 2017.

That places Asia 4th out of 30 groups 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.

Bananas — Residuals in Asia, year by year

Annual values for Bananas — Residuals in Asia, 2010 to 2023.
Year 1000 t Change
2010 -18 1000 t —
2011 5 1000 t -127.8%
2012 6 1000 t +20.0%
2013 6 1000 t +0.0%
2014 -30 1000 t -600.0%
2015 -66 1000 t +120.0%
2016 -109 1000 t +65.2%
2017 -233 1000 t +113.8%
2018 -189 1000 t -18.9%
2019 78 1000 t -141.3%
2020 -70 1000 t -189.7%
2021 112 1000 t -260.0%
2022 147 1000 t +31.2%
2023 171 1000 t +16.3%

Averages by decade

DecadeAverage LowestHighest Years
2010s -55 1000 t -233 1000 t 78 1000 t 10
2020s 90 1000 t -70 1000 t 171 1000 t 4

Countries ranked near Asia

  1. 1 Ecuador 458 1000 t compare
  2. 2 Thailand 171 1000 t compare
  3. 3 Micronesia (Federated States of) 0 1000 t
  4. 3 Tuvalu 0 1000 t
  5. 3 Nauru 0 1000 t
  6. 3 Tonga 0 1000 t
  7. 3 Marshall Islands 0 1000 t
  8. 3 Bhutan 0 1000 t
  9. 3 Qatar 0 1000 t
  10. 3 Bahrain 0 1000 t
  11. 3 Democratic People's Republic of Korea 0 1000 t
  12. 3 Cuba 0 1000 t
  13. 3 Turkmenistan 0 1000 t
  14. 3 Timor-Leste 0 1000 t
  15. 3 Lesotho 0 1000 t
  16. 3 Kiribati 0 1000 t
  17. 3 Comoros 0 1000 t
  18. 3 Djibouti 0 1000 t
  19. 3 Guinea-Bissau 0 1000 t
  20. 3 Sao Tome and Principe 0 1000 t
  21. 3 Liberia 0 1000 t
  22. 3 Mauritania 0 1000 t
  23. 3 Tajikistan 0 1000 t
  24. 3 Afghanistan 0 1000 t
  25. 3 Micronesia 0 1000 t
  26. 3 China, Macao SAR 0 1000 t
  27. 3 Mongolia 0 1000 t
  28. 3 Saint Kitts and Nevis 0 1000 t
  29. 3 Solomon Islands 0 1000 t
  30. 3 Gambia 0 1000 t
  31. 3 Vanuatu 0 1000 t
  32. 3 Albania 0 1000 t
  33. 3 Libya 0 1000 t
  34. 3 Sierra Leone 0 1000 t
  35. 3 Suriname 0 1000 t
  36. 3 Saint Vincent and the Grenadines 0 1000 t
  37. 3 Cabo Verde 0 1000 t
  38. 3 Montenegro 0 1000 t
  39. 3 Maldives 0 1000 t
  40. 3 Armenia 0 1000 t
  41. 3 Lao People's Democratic Republic 0 1000 t
  42. 3 Iceland 0 1000 t
  43. 3 Grenada 0 1000 t
  44. 3 French Polynesia 0 1000 t
  45. 3 Seychelles 0 1000 t
  46. 3 Kuwait 0 1000 t compare
  47. 3 Saint Lucia 0 1000 t
  48. 3 Estonia 0 1000 t
  49. 3 Samoa 0 1000 t
  50. 3 Georgia 0 1000 t
  51. 3 Gabon 0 1000 t
  52. 3 Guyana 0 1000 t
  53. 3 Kyrgyzstan 0 1000 t
  54. 3 Lithuania 0 1000 t
  55. 3 Bosnia and Herzegovina 0 1000 t
  56. 3 Uzbekistan 0 1000 t
  57. 3 Republic of Moldova 0 1000 t
  58. 3 North Macedonia 0 1000 t
  59. 3 Haiti 0 1000 t
  60. 3 Guinea 0 1000 t
  61. 3 Jordan 0 1000 t
  62. 3 New Caledonia 0 1000 t
  63. 3 Bahamas 0 1000 t
  64. 3 Eswatini 0 1000 t compare
  65. 3 Angola 0 1000 t
  66. 3 Papua New Guinea 0 1000 t
  67. 3 Azerbaijan 0 1000 t
  68. 3 Oman 0 1000 t
  69. 3 Congo 0 1000 t
  70. 3 Finland 0 1000 t
  71. 3 Paraguay 0 1000 t
  72. 3 Slovakia 0 1000 t
  73. 3 Algeria 0 1000 t
  74. 3 Uruguay 0 1000 t
  75. 3 Belarus 0 1000 t
  76. 3 Antigua and Barbuda 0 1000 t
  77. 3 Niger 0 1000 t
  78. 3 Luxembourg 0 1000 t
  79. 3 Latvia 0 1000 t
  80. 3 Barbados 0 1000 t
  81. 3 Iraq 0 1000 t
  82. 3 Namibia 0 1000 t
  83. 3 Ireland 0 1000 t
  84. 3 Tunisia 0 1000 t
  85. 3 Ukraine 0 1000 t
  86. 3 Czechia 0 1000 t
  87. 3 Chile 0 1000 t
  88. 3 Serbia 0 1000 t
  89. 3 Argentina 0 1000 t
  90. 3 Croatia 0 1000 t
  91. 3 Saudi Arabia 0 1000 t
  92. 3 Viet Nam 0 1000 t
  93. 3 Norway 0 1000 t
  94. 3 Burkina Faso 0 1000 t
  95. 3 Panama 0 1000 t
  96. 3 Slovenia 0 1000 t
  97. 3 Dominican Republic 0 1000 t compare
  98. 3 Belize 0 1000 t compare
  99. 3 Belgium 0 1000 t
  100. 3 Jamaica 0 1000 t
  101. 3 Bulgaria 0 1000 t
  102. 3 Netherlands (Kingdom of the) 0 1000 t
  103. 3 Mauritius 0 1000 t
  104. 3 China, Hong Kong SAR 0 1000 t compare
  105. 3 Romania 0 1000 t
  106. 3 Myanmar 0 1000 t compare
  107. 3 Israel 0 1000 t compare
  108. 3 Portugal 0 1000 t
  109. 3 El Salvador 0 1000 t
  110. 3 Trinidad and Tobago 0 1000 t
  111. 3 Poland 0 1000 t
  112. 3 Switzerland 0 1000 t
  113. 3 Iran (Islamic Republic of) 0 1000 t
  114. 3 Denmark 0 1000 t
  115. 3 United Kingdom of Great Britain and Northern Ireland 0 1000 t
  116. 3 Malawi 0 1000 t
  117. 3 Yemen 0 1000 t
  118. 3 Malta 0 1000 t
  119. 3 New Zealand 0 1000 t
  120. 3 Zambia 0 1000 t
  121. 3 Fiji 0 1000 t
  122. 3 Canada 0 1000 t compare
  123. 3 Democratic Republic of the Congo 0 1000 t
  124. 3 Russian Federation 0 1000 t
  125. 3 Madagascar 0 1000 t
  126. 3 Lebanon 0 1000 t compare
  127. 3 Malaysia 0 1000 t
  128. 3 France 0 1000 t
  129. 3 Bolivia (Plurinational State of) 0 1000 t
  130. 3 Türkiye 0 1000 t
  131. 3 Sweden 0 1000 t
  132. 3 Syrian Arab Republic 0 1000 t
  133. 3 Ghana 0 1000 t compare
  134. 3 Mozambique 0 1000 t
  135. 3 Polynesia 0 1000 t
  136. 3 Hungary 0 1000 t
  137. 3 Venezuela (Bolivarian Republic of) 0 1000 t
  138. 3 United Arab Emirates 0 1000 t
  139. 3 Greece 0 1000 t compare
  140. 3 Kazakhstan 0 1000 t
  141. 3 China, Taiwan Province of 0 1000 t
  142. 3 Botswana 0 1000 t
  143. 3 Morocco 0 1000 t
  144. 3 Australia 0 1000 t
  145. 3 Zimbabwe 0 1000 t
  146. 3 Côte d'Ivoire 0 1000 t compare
  147. 3 Cameroon 0 1000 t compare
  148. 3 Cyprus 0 1000 t
  149. 3 Senegal 0 1000 t
  150. 3 Germany 0 1000 t
  151. 3 Italy 0 1000 t
  152. 3 South Africa 0 1000 t
  153. 3 Ethiopia 0 1000 t
  154. 3 Honduras 0 1000 t
  155. 3 Bangladesh 0 1000 t
  156. 3 Cambodia 0 1000 t
  157. 3 Republic of Korea 0 1000 t
  158. 3 Costa Rica 0 1000 t compare
  159. 3 Nigeria 0 1000 t
  160. 3 Uganda 0 1000 t compare
  161. 3 Spain 0 1000 t compare
  162. 3 Philippines 0 1000 t compare
  163. 3 Pakistan 0 1000 t
  164. 3 Peru 0 1000 t
  165. 3 Sri Lanka 0 1000 t compare
  166. 3 India 0 1000 t
  167. 3 Brazil 0 1000 t
  168. 3 Mexico 0 1000 t
  169. 3 United Republic of Tanzania 0 1000 t
  170. 3 Egypt 0 1000 t
  171. 3 China, mainland 0 1000 t
  172. 3 Colombia 0 1000 t
  173. 3 Australia and New Zealand 0 1000 t
  174. 3 Indonesia 0 1000 t compare
  175. 3 Kenya 0 1000 t compare
  176. 3 Nepal 0 1000 t
  177. 3 Melanesia 0 1000 t
  178. 3 China 0 1000 t compare
  179. 3 Caribbean 0 1000 t compare
  180. 3 Nauru 0 1000 t
  181. 3 East Timor 0 1000 t
  182. 3 Laos 0 1000 t
  183. 3 Moldova 0 1000 t
  184. 3 Vietnam 0 1000 t
  185. 3 United Kingdom 0 1000 t
  186. 3 Russia 0 1000 t
  187. 3 Turkey 0 1000 t
  188. 3 Syria 0 1000 t
  189. 3 Cote d'Ivoire 0 1000 t compare
  190. 3 United States 0 1000 t

See the full ranking of 224 places →

More agriculture & rural data for Asia

All data for Asia →

Frequently asked questions

What is bananas — residuals in Asia?
Bananas — residuals in Asia was 171 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest bananas — residuals recorded in Asia?
The highest recorded value was 171 1000 t in 2023.
What is the lowest bananas — residuals recorded in Asia?
The lowest recorded value was -233 1000 t in 2017.
How does Asia rank for bananas — residuals?
Asia ranks 4th out of 30 groups with data for 2023.
Is bananas — residuals rising or falling in Asia?
Over the last ten years it is up 2,750.0%. The long-run trend across the full record is volatile.
Where does this Asia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Bananas — Residuals. 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).

Share, cite or embed this page

Cite this page

Bananas — Residuals in Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/bananas-residuals/asia/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/bananas-residuals/asia/">Bananas — Residuals in Asia</a> — Statizoid

About this data

Indicator
Bananas — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
224 places, 3,012 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.