Alcohol, Non-Food — Stock Variation in Africa

Africa: Alcohol, Non-Food — Stock Variation was 31 1000 t in 2023. ◆ Volatile

Latest (2023)
31 1000 t
Change on year
up 210.0%
Rank
9th
of 29 groups
All-time high
105 1000 t
in 2014
All-time low
-22 1000 t
in 2010
Years of data
14
2010–2023

Alcohol, Non-Food — Stock Variation in Africa, 2010–2023

0501002010201620232010: -22 1000 t2011: -5 1000 t2012: -8 1000 t2013: -5 1000 t2014: 105 1000 t2015: 99 1000 t2016: 81 1000 t2017: 79 1000 t2018: 95 1000 t2019: 9 1000 t2020: -6 1000 t2021: -5 1000 t2022: 10 1000 t2023: 31 1000 t

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

Analysis

The most recent figure for alcohol, non-food — stock variation in Africa is 31 1000 t, measured in 2023.

The figure is up 210.0% on the previous year and up 720.0% over ten years.

Over the whole period, alcohol, non-food — stock variation in Africa peaked at 105 1000 t in 2014 and was at its lowest, -22 1000 t, in 2010.

Africa ranks 9th of 29 groups on this measure, in the middle of the range.

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

Alcohol, Non-Food — Stock Variation in Africa, year by year

Annual values for Alcohol, Non-Food — Stock Variation in Africa, 2010 to 2023.
Year 1000 t Change
2010 -22 1000 t
2011 -5 1000 t -77.3%
2012 -8 1000 t +60.0%
2013 -5 1000 t -37.5%
2014 105 1000 t -2200.0%
2015 99 1000 t -5.7%
2016 81 1000 t -18.2%
2017 79 1000 t -2.5%
2018 95 1000 t +20.3%
2019 9 1000 t -90.5%
2020 -6 1000 t -166.7%
2021 -5 1000 t -16.7%
2022 10 1000 t -300.0%
2023 31 1000 t +210.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s 42.8 1000 t -22 1000 t 105 1000 t 10
2020s 7.5 1000 t -6 1000 t 31 1000 t 4

Countries ranked near Africa

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

See the full ranking of 195 places →

More agriculture & rural data for Africa

All data for Africa →

Frequently asked questions

What is alcohol, non-food — stock variation in Africa?
Alcohol, non-food — stock variation in Africa was 31 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest alcohol, non-food — stock variation recorded in Africa?
The highest recorded value was 105 1000 t in 2014.
What is the lowest alcohol, non-food — stock variation recorded in Africa?
The lowest recorded value was -22 1000 t in 2010.
How does Africa rank for alcohol, non-food — stock variation?
Africa ranks 9th out of 29 groups with data for 2023.
Is alcohol, non-food — stock variation rising or falling in Africa?
Over the last ten years it is up 720.0%. The long-run trend across the full record is volatile.
Where does this Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Alcohol, Non-Food — Stock Variation. Statizoid updates them automatically from the source API.

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Alcohol, Non-Food — Stock Variation in Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 27 August 2026, from https://agriculture.statizoid.com/stat/alcohol-non-food-stock-variation-2/africa/

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About this data

Indicator
Alcohol, Non-Food — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
195 places, 2,189 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.