Bananas — Residuals in South America

South America: Bananas — Residuals was 458 1000 t in 2023. ◆ Volatile

Latest (2023)
458 1000 t
Change on year
up 155.2%
Rank
1st
of 29 groups
All-time high
458 1000 t
in 2023
All-time low
-1,092 1000 t
in 2020
Years of data
14
2010–2023

Bananas — Residuals in South America, 2010–2023

-1.0k-50005002010201620232010: 104 1000 t2011: 60 1000 t2012: 52 1000 t2013: 60 1000 t2014: 0 1000 t2015: 0 1000 t2016: 302 1000 t2017: -197 1000 t2018: -98 1000 t2019: -167 1000 t2020: -1.1k 1000 t2021: -207 1000 t2022: -830 1000 t2023: 458 1000 t

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

Analysis

In 2023, bananas — residuals in South America stood at 458 1000 t. That is the highest value across all 14 years on record.

Compared with earlier readings it is up 155.2% on the previous year and up 663.3% over ten years.

Over the whole period, bananas — residuals in South America peaked at 458 1000 t in 2023 and was at its lowest, -1,092 1000 t, in 2020.

That places South America 1st out of 29 groups with data for 2023, putting it in the top 10%.

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

Bananas — Residuals in South America, year by year

Annual values for Bananas — Residuals in South America, 2010 to 2023.
Year 1000 t Change
2010 104 1000 t
2011 60 1000 t -42.3%
2012 52 1000 t -13.3%
2013 60 1000 t +15.4%
2014 0 1000 t -100.0%
2015 0 1000 t
2016 302 1000 t
2017 -197 1000 t -165.2%
2018 -98 1000 t -50.3%
2019 -167 1000 t +70.4%
2020 -1,092 1000 t +553.9%
2021 -207 1000 t -81.0%
2022 -830 1000 t +301.0%
2023 458 1000 t -155.2%

Averages by decade

DecadeAverage LowestHighest Years
2010s 11.6 1000 t -197 1000 t 302 1000 t 10
2020s -417.75 1000 t -1,092 1000 t 458 1000 t 4

Countries ranked near South America

  1. 1 Ecuador 458 1000 t compare
  2. 2 Thailand 171 1000 t compare
  3. 3 Tuvalu 0 1000 t
  4. 3 Naoero 0 1000 t
  5. 3 Tonga 0 1000 t
  6. 3 Marshall Islands 0 1000 t
  7. 3 Bhutan 0 1000 t
  8. 3 Qatar 0 1000 t
  9. 3 Bahrain 0 1000 t
  10. 3 Cuba 0 1000 t
  11. 3 Turkmenistan 0 1000 t
  12. 3 Lesotho 0 1000 t
  13. 3 Kiribati 0 1000 t
  14. 3 Comoros 0 1000 t
  15. 3 Djibouti 0 1000 t
  16. 3 Guinea-Bissau 0 1000 t
  17. 3 Sao Tome and Principe 0 1000 t
  18. 3 Liberia 0 1000 t
  19. 3 Mauritania 0 1000 t
  20. 3 Tajikistan 0 1000 t
  21. 3 Afghanistan 0 1000 t
  22. 3 China, Macao SAR 0 1000 t
  23. 3 Mongolia 0 1000 t
  24. 3 Saint Kitts and Nevis 0 1000 t
  25. 3 Solomon Islands 0 1000 t
  26. 3 Gambia 0 1000 t
  27. 3 Vanuatu 0 1000 t
  28. 3 Albania 0 1000 t
  29. 3 Libya 0 1000 t
  30. 3 Sierra Leone 0 1000 t
  31. 3 Suriname 0 1000 t
  32. 3 Saint Vincent and the Grenadines 0 1000 t
  33. 3 Montenegro 0 1000 t
  34. 3 Maldives 0 1000 t
  35. 3 Armenia 0 1000 t
  36. 3 Iceland 0 1000 t
  37. 3 Grenada 0 1000 t
  38. 3 French Polynesia 0 1000 t
  39. 3 Seychelles 0 1000 t
  40. 3 Kuwait 0 1000 t compare
  41. 3 Saint Lucia 0 1000 t
  42. 3 Estonia 0 1000 t
  43. 3 Samoa 0 1000 t
  44. 3 Georgia 0 1000 t
  45. 3 Gabon 0 1000 t
  46. 3 Guyana 0 1000 t
  47. 3 Kyrgyzstan 0 1000 t
  48. 3 Lithuania 0 1000 t
  49. 3 Bosnia and Herzegovina 0 1000 t
  50. 3 Uzbekistan 0 1000 t
  51. 3 North Macedonia 0 1000 t
  52. 3 Haiti 0 1000 t
  53. 3 Guinea 0 1000 t
  54. 3 Jordan 0 1000 t
  55. 3 New Caledonia 0 1000 t
  56. 3 Bahamas 0 1000 t
  57. 3 Eswatini 0 1000 t compare
  58. 3 Angola 0 1000 t
  59. 3 Papua New Guinea 0 1000 t
  60. 3 Azerbaijan 0 1000 t
  61. 3 Oman 0 1000 t
  62. 3 Congo 0 1000 t
  63. 3 Finland 0 1000 t
  64. 3 Paraguay 0 1000 t
  65. 3 Slovakia 0 1000 t
  66. 3 Algeria 0 1000 t
  67. 3 Uruguay 0 1000 t
  68. 3 Belarus 0 1000 t
  69. 3 Antigua and Barbuda 0 1000 t
  70. 3 Niger 0 1000 t
  71. 3 Luxembourg 0 1000 t
  72. 3 Latvia 0 1000 t
  73. 3 Barbados 0 1000 t
  74. 3 Iraq 0 1000 t
  75. 3 Namibia 0 1000 t
  76. 3 Ireland 0 1000 t
  77. 3 Tunisia 0 1000 t
  78. 3 Ukraine 0 1000 t
  79. 3 Czechia 0 1000 t
  80. 3 Chile 0 1000 t
  81. 3 Serbia 0 1000 t
  82. 3 Argentina 0 1000 t
  83. 3 Croatia 0 1000 t
  84. 3 Saudi Arabia 0 1000 t
  85. 3 Norway 0 1000 t
  86. 3 Burkina Faso 0 1000 t
  87. 3 Panama 0 1000 t
  88. 3 Slovenia 0 1000 t
  89. 3 Dominican Republic 0 1000 t compare
  90. 3 Belize 0 1000 t compare
  91. 3 Belgium 0 1000 t
  92. 3 Jamaica 0 1000 t
  93. 3 Bulgaria 0 1000 t
  94. 3 Netherlands (Kingdom of the) 0 1000 t
  95. 3 Mauritius 0 1000 t
  96. 3 China, Hong Kong SAR 0 1000 t compare
  97. 3 Romania 0 1000 t
  98. 3 Myanmar 0 1000 t compare
  99. 3 Israel 0 1000 t compare
  100. 3 Portugal 0 1000 t
  101. 3 El Salvador 0 1000 t
  102. 3 Trinidad and Tobago 0 1000 t
  103. 3 Poland 0 1000 t
  104. 3 Switzerland 0 1000 t
  105. 3 Denmark 0 1000 t
  106. 3 United Kingdom of Great Britain and Northern Ireland 0 1000 t
  107. 3 Malawi 0 1000 t
  108. 3 Yemen 0 1000 t
  109. 3 Malta 0 1000 t
  110. 3 New Zealand 0 1000 t
  111. 3 Zambia 0 1000 t
  112. 3 Fiji 0 1000 t
  113. 3 Canada 0 1000 t compare
  114. 3 Russian Federation 0 1000 t
  115. 3 Madagascar 0 1000 t
  116. 3 Lebanon 0 1000 t compare
  117. 3 Malaysia 0 1000 t
  118. 3 France 0 1000 t
  119. 3 Sweden 0 1000 t
  120. 3 Ghana 0 1000 t compare
  121. 3 Mozambique 0 1000 t
  122. 3 Hungary 0 1000 t
  123. 3 United Arab Emirates 0 1000 t
  124. 3 Greece 0 1000 t compare
  125. 3 Kazakhstan 0 1000 t
  126. 3 China, Taiwan Province of 0 1000 t
  127. 3 Botswana 0 1000 t
  128. 3 Morocco 0 1000 t
  129. 3 Australia 0 1000 t
  130. 3 Zimbabwe 0 1000 t
  131. 3 Cameroon 0 1000 t compare
  132. 3 Cyprus 0 1000 t
  133. 3 Senegal 0 1000 t
  134. 3 Germany 0 1000 t
  135. 3 Italy 0 1000 t
  136. 3 South Africa 0 1000 t
  137. 3 Ethiopia 0 1000 t
  138. 3 Honduras 0 1000 t
  139. 3 Bangladesh 0 1000 t
  140. 3 Cambodia 0 1000 t
  141. 3 Republic of Korea 0 1000 t
  142. 3 Costa Rica 0 1000 t compare
  143. 3 Nigeria 0 1000 t
  144. 3 Uganda 0 1000 t compare
  145. 3 Spain 0 1000 t compare
  146. 3 Philippines 0 1000 t compare
  147. 3 Pakistan 0 1000 t
  148. 3 Peru 0 1000 t
  149. 3 Sri Lanka 0 1000 t compare
  150. 3 India 0 1000 t
  151. 3 Brazil 0 1000 t
  152. 3 Mexico 0 1000 t
  153. 3 Egypt 0 1000 t
  154. 3 China, mainland 0 1000 t
  155. 3 Colombia 0 1000 t
  156. 3 Australia and New Zealand 0 1000 t
  157. 3 Indonesia 0 1000 t compare
  158. 3 Kenya 0 1000 t compare
  159. 3 Nepal 0 1000 t
  160. 3 China 0 1000 t compare

See the full ranking of 213 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is bananas — residuals in South America?
Bananas — residuals in South America was 458 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest bananas — residuals recorded in South America?
The highest recorded value was 458 1000 t in 2023.
What is the lowest bananas — residuals recorded in South America?
The lowest recorded value was -1,092 1000 t in 2020.
How does South America rank for bananas — residuals?
South America ranks 1st out of 29 groups with data for 2023.
Is bananas — residuals rising or falling in South America?
Over the last ten years it is up 663.3%. The long-run trend across the full record is volatile.
Where does this South America 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.

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Bananas — Residuals in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 22 August 2026, from https://agriculture.statizoid.com/stat/bananas-residuals/south-america/

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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
213 places, 2,867 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.