Rape and Mustard Oil — Stock Variation in Africa

Africa: Rape and Mustard Oil — Stock Variation was -3 1000 t in 2023. ◆ Volatile

Latest (2023)
-3 1000 t
Rank
23rd
of 29 groups
All-time high
13 1000 t
in 2017
All-time low
-4 1000 t
in 2010
Years of data
14
2010–2023

Rape and Mustard Oil — Stock Variation in Africa, 2010–2023

-50510152010201620232010: -4 1000 t2011: 7 1000 t2012: 0 1000 t2013: 4 1000 t2014: 3 1000 t2015: -3 1000 t2016: 4 1000 t2017: 13 1000 t2018: -2 1000 t2019: 4 1000 t2020: 4 1000 t2021: 1 1000 t2022: 0 1000 t2023: -3 1000 t

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

Analysis

In 2023, rape and mustard oil — stock variation in Africa stood at -3 1000 t.

Compared with earlier readings it is down 175.0% over ten years.

Over the whole period, rape and mustard oil — stock variation in Africa peaked at 13 1000 t in 2017 and was at its lowest, -4 1000 t, in 2010.

Africa ranks 23rd of 29 groups on this measure, in the bottom quarter.

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

Rape and Mustard Oil — Stock Variation in Africa, year by year

Annual values for Rape and Mustard Oil — Stock Variation in Africa, 2010 to 2023.
Year 1000 t Change
2010 -4 1000 t
2011 7 1000 t -275.0%
2012 0 1000 t -100.0%
2013 4 1000 t
2014 3 1000 t -25.0%
2015 -3 1000 t -200.0%
2016 4 1000 t -233.3%
2017 13 1000 t +225.0%
2018 -2 1000 t -115.4%
2019 4 1000 t -300.0%
2020 4 1000 t +0.0%
2021 1 1000 t -75.0%
2022 0 1000 t -100.0%
2023 -3 1000 t

Averages by decade

DecadeAverage LowestHighest Years
2010s 2.6 1000 t -4 1000 t 13 1000 t 10
2020s 0.5 1000 t -3 1000 t 4 1000 t 4

Countries ranked near Africa

  1. 20 Belgium 2 1000 t compare
  2. 20 Portugal 2 1000 t compare
  3. 20 Republic of Korea 2 1000 t compare
  4. 23 Iceland 1 1000 t compare
  5. 23 United Kingdom of Great Britain and Northern Ireland 1 1000 t compare
  6. 23 Nigeria 1 1000 t compare
  7. 26 Tuvalu 0 1000 t
  8. 26 Naoero 0 1000 t
  9. 26 Tonga 0 1000 t
  10. 26 Marshall Islands 0 1000 t
  11. 26 Qatar 0 1000 t compare
  12. 26 Bhutan 0 1000 t
  13. 26 Bahrain 0 1000 t
  14. 26 Cuba 0 1000 t
  15. 26 Djibouti 0 1000 t compare
  16. 26 Comoros 0 1000 t
  17. 26 Afghanistan 0 1000 t
  18. 26 Saint Kitts and Nevis 0 1000 t
  19. 26 China, Macao SAR 0 1000 t compare
  20. 26 Liberia 0 1000 t
  21. 26 Tajikistan 0 1000 t
  22. 26 Mongolia 0 1000 t compare
  23. 26 Solomon Islands 0 1000 t
  24. 26 Mauritania 0 1000 t
  25. 26 Vanuatu 0 1000 t
  26. 26 Libya 0 1000 t
  27. 26 Saint Vincent and the Grenadines 0 1000 t
  28. 26 Albania 0 1000 t
  29. 26 Suriname 0 1000 t
  30. 26 Montenegro 0 1000 t
  31. 26 Seychelles 0 1000 t
  32. 26 Armenia 0 1000 t
  33. 26 French Polynesia 0 1000 t
  34. 26 Sierra Leone 0 1000 t
  35. 26 Bahamas 0 1000 t
  36. 26 Kuwait 0 1000 t
  37. 26 Georgia 0 1000 t
  38. 26 Kyrgyzstan 0 1000 t
  39. 26 Jordan 0 1000 t
  40. 26 Gambia 0 1000 t
  41. 26 Guyana 0 1000 t
  42. 26 Samoa 0 1000 t
  43. 26 Uzbekistan 0 1000 t compare
  44. 26 Gabon 0 1000 t
  45. 26 Azerbaijan 0 1000 t
  46. 26 Maldives 0 1000 t
  47. 26 Antigua and Barbuda 0 1000 t
  48. 26 North Macedonia 0 1000 t
  49. 26 New Caledonia 0 1000 t
  50. 26 Finland 0 1000 t compare
  51. 26 Eswatini 0 1000 t
  52. 26 Angola 0 1000 t
  53. 26 Haiti 0 1000 t
  54. 26 Lithuania 0 1000 t compare
  55. 26 Oman 0 1000 t
  56. 26 Barbados 0 1000 t
  57. 26 Congo 0 1000 t
  58. 26 Iraq 0 1000 t
  59. 26 Guinea 0 1000 t
  60. 26 Luxembourg 0 1000 t compare
  61. 26 China, Hong Kong SAR 0 1000 t compare
  62. 26 Tunisia 0 1000 t
  63. 26 Mauritius 0 1000 t
  64. 26 Papua New Guinea 0 1000 t
  65. 26 Paraguay 0 1000 t compare
  66. 26 Saudi Arabia 0 1000 t compare
  67. 26 Croatia 0 1000 t compare
  68. 26 Niger 0 1000 t
  69. 26 Trinidad and Tobago 0 1000 t
  70. 26 El Salvador 0 1000 t
  71. 26 Malta 0 1000 t
  72. 26 Uruguay 0 1000 t compare
  73. 26 Dominican Republic 0 1000 t compare
  74. 26 Namibia 0 1000 t
  75. 26 Rwanda 0 1000 t
  76. 26 Jamaica 0 1000 t
  77. 26 Belize 0 1000 t
  78. 26 Denmark 0 1000 t compare
  79. 26 Fiji 0 1000 t compare
  80. 26 Yemen 0 1000 t compare
  81. 26 Serbia 0 1000 t compare
  82. 26 Burkina Faso 0 1000 t
  83. 26 Lebanon 0 1000 t compare
  84. 26 Slovenia 0 1000 t compare
  85. 26 Malawi 0 1000 t
  86. 26 Bulgaria 0 1000 t compare
  87. 26 Zambia 0 1000 t
  88. 26 Nicaragua 0 1000 t
  89. 26 Switzerland 0 1000 t compare
  90. 26 Madagascar 0 1000 t
  91. 26 Mozambique 0 1000 t
  92. 26 New Zealand 0 1000 t compare
  93. 26 Greece 0 1000 t
  94. 26 Austria 0 1000 t compare
  95. 26 Ghana 0 1000 t
  96. 26 Myanmar 0 1000 t
  97. 26 Botswana 0 1000 t compare
  98. 26 Cyprus 0 1000 t
  99. 26 Morocco 0 1000 t compare
  100. 26 Kazakhstan 0 1000 t compare
  101. 26 Zimbabwe 0 1000 t
  102. 26 China, Taiwan Province of 0 1000 t
  103. 26 Honduras 0 1000 t
  104. 26 Cambodia 0 1000 t
  105. 26 Bangladesh 0 1000 t compare
  106. 26 Senegal 0 1000 t
  107. 26 Ecuador 0 1000 t
  108. 26 Cameroon 0 1000 t
  109. 26 Costa Rica 0 1000 t
  110. 26 South Africa 0 1000 t
  111. 26 Ethiopia 0 1000 t compare
  112. 26 Philippines 0 1000 t compare
  113. 26 Peru 0 1000 t
  114. 26 Thailand 0 1000 t
  115. 26 Sri Lanka 0 1000 t
  116. 26 Uganda 0 1000 t
  117. 26 Brazil 0 1000 t
  118. 26 Indonesia 0 1000 t
  119. 26 Guatemala 0 1000 t
  120. 26 Egypt 0 1000 t compare
  121. 26 Colombia 0 1000 t compare
  122. 26 Kenya 0 1000 t compare

See the full ranking of 204 places →

More agriculture & rural data for Africa

All data for Africa →

Frequently asked questions

What is rape and mustard oil — stock variation in Africa?
Rape and mustard oil — stock variation in Africa was -3 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest rape and mustard oil — stock variation recorded in Africa?
The highest recorded value was 13 1000 t in 2017.
What is the lowest rape and mustard oil — stock variation recorded in Africa?
The lowest recorded value was -4 1000 t in 2010.
How does Africa rank for rape and mustard oil — stock variation?
Africa ranks 23rd out of 29 groups with data for 2023.
Is rape and mustard oil — stock variation rising or falling in Africa?
Over the last ten years it is down 175.0%. 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 Rape and Mustard Oil — Stock Variation. Statizoid updates them automatically from the source API.

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Rape and Mustard Oil — Stock Variation in Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 August 2026, from https://agriculture.statizoid.com/stat/rape-and-mustard-oil-stock-variation/africa/

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About this data

Indicator
Rape and Mustard Oil — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
204 places, 2,594 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.