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Tomatoes and products — Residuals in Southern Africa

Southern Africa: Tomatoes and products — Residuals was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Rank
2nd
of 29 groups
All-time high
0 1000 t
in 2010
All-time low
-6 1000 t
in 2019
Years of data
14
2010–2023

Tomatoes and products — Residuals in Southern Africa, 2010–2023

-6-4-202010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t2018: 0 1000 t2019: -6 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

The most recent figure for tomatoes and products — residuals in Southern Africa is 0 1000 t, measured in 2023. That is the highest value across all 14 years on record.

Over the whole period, tomatoes and products — residuals in Southern Africa peaked at 0 1000 t in 2010 and was at its lowest, -6 1000 t, in 2019.

Southern Africa ranks 2nd of 29 groups on this measure, in the top 10%.

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

Tomatoes and products — 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 0 1000 t —
2017 0 1000 t —
2018 0 1000 t —
2019 -6 1000 t —
2020 0 1000 t -100.0%
2021 0 1000 t —
2022 0 1000 t —
2023 0 1000 t —

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.6 1000 t -6 1000 t 0 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Southern Africa

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

See the full ranking of 213 places →

More agriculture & rural data for Southern Africa

All data for Southern Africa →

Frequently asked questions

What is tomatoes and products — residuals in Southern Africa?
Tomatoes and products — residuals in Southern Africa was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest tomatoes and products — residuals recorded in Southern Africa?
The highest recorded value was 0 1000 t in 2010.
What is the lowest tomatoes and products — residuals recorded in Southern Africa?
The lowest recorded value was -6 1000 t in 2019.
How does Southern Africa rank for tomatoes and products — residuals?
Southern Africa ranks 2nd 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 Tomatoes and products — Residuals. Statizoid updates them automatically from the source API.

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Tomatoes and products — Residuals in Southern Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 29 August 2026, from https://agriculture.statizoid.com/stat/tomatoes-and-products-residuals/southern-africa/

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About this data

Indicator
Tomatoes 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, 2,897 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.