Spices, Other — Stock Variation in Western Africa

Western Africa: Spices, Other — Stock Variation was -14 1000 t in 2023. ◆ Volatile

Latest (2023)
-14 1000 t
Change on year
up 65.0%
Rank
27th
of 29 groups
All-time high
560 1000 t
in 2017
All-time low
-40 1000 t
in 2022
Years of data
14
2010–2023

Spices, Other — Stock Variation in Western Africa, 2010–2023

02004006002010201620232010: 1 1000 t2011: 1 1000 t2012: 1 1000 t2013: 31 1000 t2014: -16 1000 t2015: 196 1000 t2016: 532 1000 t2017: 560 1000 t2018: 427 1000 t2019: -2 1000 t2020: -22 1000 t2021: 1 1000 t2022: -40 1000 t2023: -14 1000 t

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

Analysis

The most recent figure for spices, other — stock variation in Western Africa is -14 1000 t, measured in 2023.

That represents a change of up 65.0% on the previous year and down 145.2% over ten years.

Over the whole period, spices, other — stock variation in Western Africa peaked at 560 1000 t in 2017 and was at its lowest, -40 1000 t, in 2022.

That places Western Africa 27th out of 29 groups with data for 2023, putting it in the bottom quarter.

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

Spices, Other — Stock Variation in Western Africa, year by year

Annual values for Spices, Other — Stock Variation in Western Africa, 2010 to 2023.
Year 1000 t Change
2010 1 1000 t
2011 1 1000 t +0.0%
2012 1 1000 t +0.0%
2013 31 1000 t +3000.0%
2014 -16 1000 t -151.6%
2015 196 1000 t -1325.0%
2016 532 1000 t +171.4%
2017 560 1000 t +5.3%
2018 427 1000 t -23.8%
2019 -2 1000 t -100.5%
2020 -22 1000 t +1000.0%
2021 1 1000 t -104.5%
2022 -40 1000 t -4100.0%
2023 -14 1000 t -65.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s 173.1 1000 t -16 1000 t 560 1000 t 10
2020s -18.75 1000 t -40 1000 t 1 1000 t 4

Countries ranked near Western Africa

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

See the full ranking of 212 places →

More agriculture & rural data for Western Africa

All data for Western Africa →

Frequently asked questions

What is spices, other — stock variation in Western Africa?
Spices, other — stock variation in Western Africa was -14 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest spices, other — stock variation recorded in Western Africa?
The highest recorded value was 560 1000 t in 2017.
What is the lowest spices, other — stock variation recorded in Western Africa?
The lowest recorded value was -40 1000 t in 2022.
How does Western Africa rank for spices, other — stock variation?
Western Africa ranks 27th out of 29 groups with data for 2023.
Is spices, other — stock variation rising or falling in Western Africa?
Over the last ten years it is down 145.2%. The long-run trend across the full record is volatile.
Where does this Western Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Spices, Other — Stock Variation. Statizoid updates them automatically from the source API.

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Spices, Other — Stock Variation in Western Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 23 August 2026, from https://agriculture.statizoid.com/stat/spices-other-stock-variation/western-africa/

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About this data

Indicator
Spices, Other — 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, 2,876 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.