Meat, Other — Stock Variation in Western Africa

Western Africa: Meat, Other — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Change on year
down 100.0%
Rank
13th
of 29 groups
All-time high
24 1000 t
in 2012
All-time low
-38 1000 t
in 2014
Years of data
14
2010–2023

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

-40-200202010201620232010: 11 1000 t2011: 18 1000 t2012: 24 1000 t2013: 0 1000 t2014: -38 1000 t2015: -36 1000 t2016: -18 1000 t2017: -2 1000 t2018: 3 1000 t2019: -11 1000 t2020: 1 1000 t2021: 1 1000 t2022: 1 1000 t2023: 0 1000 t

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

Analysis

In 2023, meat, other — stock variation in Western Africa stood at 0 1000 t.

Compared with earlier readings it is down 100.0% on the previous year and down 100.0% over five years.

Over the whole period, meat, other — stock variation in Western Africa peaked at 24 1000 t in 2012 and was at its lowest, -38 1000 t, in 2014.

Western Africa ranks 13th 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.

Averages by decade

DecadeAverage LowestHighest Years
2010s -4.9 1000 t -38 1000 t 24 1000 t 10
2020s 0.75 1000 t 0 1000 t 1 1000 t 4

Countries ranked near Western Africa

  1. 12 Tuvalu 0 1000 t
  2. 12 Nauru 0 1000 t
  3. 12 Tonga 0 1000 t
  4. 12 Marshall Islands 0 1000 t
  5. 12 Qatar 0 1000 t compare
  6. 12 Bahrain 0 1000 t
  7. 12 Kiribati 0 1000 t
  8. 12 Lesotho 0 1000 t
  9. 12 Guinea-Bissau 0 1000 t
  10. 12 Comoros 0 1000 t
  11. 12 Djibouti 0 1000 t
  12. 12 Sao Tome and Principe 0 1000 t
  13. 12 Liberia 0 1000 t compare
  14. 12 Mauritania 0 1000 t compare
  15. 12 Afghanistan 0 1000 t compare
  16. 12 Tajikistan 0 1000 t
  17. 12 China, Macao SAR 0 1000 t
  18. 12 Saint Kitts and Nevis 0 1000 t
  19. 12 Gambia 0 1000 t
  20. 12 Solomon Islands 0 1000 t
  21. 12 Libya 0 1000 t
  22. 12 Albania 0 1000 t
  23. 12 Sierra Leone 0 1000 t compare
  24. 12 Kuwait 0 1000 t compare
  25. 12 Suriname 0 1000 t
  26. 12 Vanuatu 0 1000 t
  27. 12 Montenegro 0 1000 t
  28. 12 Maldives 0 1000 t
  29. 12 Armenia 0 1000 t
  30. 12 Uzbekistan 0 1000 t compare
  31. 12 Saint Vincent and the Grenadines 0 1000 t
  32. 12 Gabon 0 1000 t
  33. 12 Haiti 0 1000 t compare
  34. 12 Iceland 0 1000 t
  35. 12 Guinea 0 1000 t compare
  36. 12 Eswatini 0 1000 t
  37. 12 Samoa 0 1000 t
  38. 12 Iraq 0 1000 t
  39. 12 Seychelles 0 1000 t
  40. 12 Guyana 0 1000 t
  41. 12 French Polynesia 0 1000 t
  42. 12 Papua New Guinea 0 1000 t
  43. 12 Estonia 0 1000 t
  44. 12 Angola 0 1000 t compare
  45. 12 Jordan 0 1000 t
  46. 12 Bosnia and Herzegovina 0 1000 t
  47. 12 North Macedonia 0 1000 t
  48. 12 Grenada 0 1000 t
  49. 12 Azerbaijan 0 1000 t
  50. 12 Congo 0 1000 t compare
  51. 12 Niger 0 1000 t compare
  52. 12 Lithuania 0 1000 t compare
  53. 12 Georgia 0 1000 t
  54. 12 Paraguay 0 1000 t
  55. 12 Finland 0 1000 t compare
  56. 12 Uruguay 0 1000 t compare
  57. 12 Bahamas 0 1000 t
  58. 12 Algeria 0 1000 t compare
  59. 12 Namibia 0 1000 t
  60. 12 Belarus 0 1000 t compare
  61. 12 New Caledonia 0 1000 t compare
  62. 12 Burkina Faso 0 1000 t compare
  63. 12 Saint Lucia 0 1000 t
  64. 12 Luxembourg 0 1000 t
  65. 12 Slovak Republic 0 1000 t compare
  66. 12 Chile 0 1000 t compare
  67. 12 Latvia 0 1000 t
  68. 12 Ukraine 0 1000 t compare
  69. 12 Croatia 0 1000 t compare
  70. 12 Norway 0 1000 t compare
  71. 12 Antigua and Barbuda 0 1000 t
  72. 12 Tunisia 0 1000 t
  73. 12 Serbia 0 1000 t
  74. 12 Barbados 0 1000 t
  75. 12 Myanmar 0 1000 t
  76. 12 Yemen 0 1000 t
  77. 12 Czechia 0 1000 t compare
  78. 12 Panama 0 1000 t
  79. 12 Israel 0 1000 t
  80. 12 Nicaragua 0 1000 t
  81. 12 Slovenia 0 1000 t
  82. 12 Rwanda 0 1000 t compare
  83. 12 Switzerland 0 1000 t compare
  84. 12 Bulgaria 0 1000 t compare
  85. 12 El Salvador 0 1000 t
  86. 12 Denmark 0 1000 t compare
  87. 12 Dominican Republic 0 1000 t
  88. 12 Belize 0 1000 t
  89. 12 Poland 0 1000 t compare
  90. 12 Mauritius 0 1000 t
  91. 12 Malawi 0 1000 t
  92. 12 Romania 0 1000 t compare
  93. 12 Zambia 0 1000 t compare
  94. 12 Mozambique 0 1000 t
  95. 12 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  96. 12 Portugal 0 1000 t compare
  97. 12 Russian Federation 0 1000 t compare
  98. 12 Lebanon 0 1000 t
  99. 12 Madagascar 0 1000 t
  100. 12 Jamaica 0 1000 t
  101. 12 New Zealand 0 1000 t compare
  102. 12 Austria 0 1000 t compare
  103. 12 China, Hong Kong SAR 0 1000 t compare
  104. 12 Sweden 0 1000 t compare
  105. 12 Trinidad and Tobago 0 1000 t
  106. 12 Ghana 0 1000 t compare
  107. 12 Malta 0 1000 t compare
  108. 12 Senegal 0 1000 t compare
  109. 12 Malaysia 0 1000 t
  110. 12 Ecuador 0 1000 t
  111. 12 Kazakhstan 0 1000 t compare
  112. 12 Morocco 0 1000 t compare
  113. 12 China, Taiwan Province of 0 1000 t
  114. 12 Fiji 0 1000 t
  115. 12 Australia 0 1000 t compare
  116. 12 Hungary 0 1000 t compare
  117. 12 Zimbabwe 0 1000 t compare
  118. 12 Bangladesh 0 1000 t
  119. 12 Greece 0 1000 t compare
  120. 12 Cameroon 0 1000 t compare
  121. 12 Cambodia 0 1000 t
  122. 12 Nigeria 0 1000 t compare
  123. 12 Pakistan 0 1000 t
  124. 12 South Africa 0 1000 t compare
  125. 12 Italy 0 1000 t compare
  126. 12 Republic of Korea 0 1000 t compare
  127. 12 Cyprus 0 1000 t
  128. 12 Philippines 0 1000 t compare
  129. 12 Uganda 0 1000 t
  130. 12 Sri Lanka 0 1000 t
  131. 12 Honduras 0 1000 t
  132. 12 Costa Rica 0 1000 t
  133. 12 Peru 0 1000 t compare
  134. 12 Spain 0 1000 t compare
  135. 12 India 0 1000 t
  136. 12 Brazil 0 1000 t compare
  137. 12 Mexico 0 1000 t compare
  138. 12 Colombia 0 1000 t compare
  139. 12 Egypt 0 1000 t compare
  140. 12 Australia and New Zealand 0 1000 t compare
  141. 12 Guatemala 0 1000 t
  142. 12 Indonesia 0 1000 t compare
  143. 12 Nepal 0 1000 t
  144. 12 Kenya 0 1000 t compare

See the full ranking of 209 places →

More agriculture & rural data for Western Africa

All data for Western Africa →

Frequently asked questions

What is meat, other — stock variation in Western Africa?
Meat, other — stock variation in Western Africa was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest meat, other — stock variation recorded in Western Africa?
The highest recorded value was 24 1000 t in 2012.
What is the lowest meat, other — stock variation recorded in Western Africa?
The lowest recorded value was -38 1000 t in 2014.
How does Western Africa rank for meat, other — stock variation?
Western Africa ranks 13th out of 29 groups with data for 2023.
Where does this Western Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Meat, Other — Stock Variation. Statizoid updates them automatically from the source API.

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Meat, Other — Stock Variation in Western Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 21 August 2026, from https://agriculture.statizoid.com/stat/meat-other-stock-variation/western-africa/

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About this data

Indicator
Meat, 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
209 places, 2,822 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.