Statizoid

Honey — Stock Variation in Southern Africa

Southern Africa: Honey — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Change on year
up 100.0%
Rank
21st
of 29 groups
All-time high
2 1000 t
in 2018
All-time low
-5 1000 t
in 2022
Years of data
14
2010–2023

Honey — Stock Variation in Southern Africa, 2010–2023

-6-4-2022010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: 0 1000 t2015: 0 1000 t2016: 1 1000 t2017: 1 1000 t2018: 2 1000 t2019: 2 1000 t2020: 2 1000 t2021: 0 1000 t2022: -5 1000 t2023: 0 1000 t

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

Analysis

The most recent figure for honey — stock variation in Southern Africa is 0 1000 t, measured in 2023.

The figure is up 100.0% on the previous year and down 100.0% over five years.

Over the whole period, honey — stock variation in Southern Africa peaked at 2 1000 t in 2018 and was at its lowest, -5 1000 t, in 2022.

That places Southern Africa 21st out of 29 groups with data for 2023, putting it in the middle of the range.

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

Honey — Stock Variation 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 1 1000 t +0.0%
2018 2 1000 t +100.0%
2019 2 1000 t +0.0%
2020 2 1000 t +0.0%
2021 0 1000 t -100.0%
2022 -5 1000 t —
2023 0 1000 t -100.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.6 1000 t 0 1000 t 2 1000 t 10
2020s -0.75 1000 t -5 1000 t 2 1000 t 4

Countries ranked near Southern Africa

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

See the full ranking of 212 places →

More agriculture & rural data for Southern Africa

All data for Southern Africa →

Frequently asked questions

What is honey — stock variation in Southern Africa?
Honey — stock variation in Southern Africa was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest honey — stock variation recorded in Southern Africa?
The highest recorded value was 2 1000 t in 2018.
What is the lowest honey — stock variation recorded in Southern Africa?
The lowest recorded value was -5 1000 t in 2022.
How does Southern Africa rank for honey — stock variation?
Southern Africa ranks 21st 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 Honey — Stock Variation. Statizoid updates them automatically from the source API.

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Honey — Stock Variation in Southern Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 23 August 2026, from https://agriculture.statizoid.com/stat/honey-stock-variation/southern-africa/

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About this data

Indicator
Honey — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,794 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.