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Bananas — Residuals in Southern Africa

Southern Africa: Bananas — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Rank
5th
of 29 groups
All-time high
0 1000 t
in 2010
All-time low
-1 1000 t
in 2016
Years of data
14
2010–2023

Bananas — Residuals in Southern Africa, 2010–2023

-1-0.8-0.6-0.4-0.2-02010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: 0 1000 t2015: 0 1000 t2016: -1 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 1000 t2020: 0 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

In 2023, bananas — residuals in Southern Africa stood at 0 1000 t. That is the highest value across all 14 years on record.

Over the whole period, bananas — residuals in Southern Africa peaked at 0 1000 t in 2010 and was at its lowest, -1 1000 t, in 2016.

That places Southern Africa 5th out of 29 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 Southern Africa, year by year

Year 1000 t Change
2010 0 1000 t —
2011 0 1000 t —
2012 0 1000 t —
2013 0 1000 t —
2014 0 1000 t —
2015 0 1000 t —
2016 -1 1000 t —
2017 0 1000 t -100.0%
2018 0 1000 t —
2019 0 1000 t —
2020 0 1000 t —
2021 0 1000 t —
2022 0 1000 t —
2023 0 1000 t —

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.1 1000 t -1 1000 t 0 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Southern Africa

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

See the full ranking of 213 places →

More agriculture & rural data for Southern Africa

All data for Southern Africa →

Frequently asked questions

What is bananas — residuals in Southern Africa?
Bananas — residuals in Southern Africa was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest bananas — residuals recorded in Southern Africa?
The highest recorded value was 0 1000 t in 2010.
What is the lowest bananas — residuals recorded in Southern Africa?
The lowest recorded value was -1 1000 t in 2016.
How does Southern Africa rank for bananas — residuals?
Southern Africa ranks 5th out of 29 groups with data for 2023.
Where does this Southern Africa 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 Southern Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 23 August 2026, from https://agriculture.statizoid.com/stat/bananas-residuals/southern-africa/

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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.