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Mutton & Goat Meat — Stock Variation in Eastern Africa

Eastern Africa: Mutton & Goat Meat — Stock Variation was 1 1000 t in 2023. ◆ Volatile

Latest (2023)
1 1000 t
Change on year
unchanged
Rank
15th
of 29 groups
All-time high
25 1000 t
in 2012
All-time low
-20 1000 t
in 2016
Years of data
14
2010–2023

Mutton & Goat Meat — Stock Variation in Eastern Africa, 2010–2023

-20-1001020302010201620232010: 2 1000 t2011: 14 1000 t2012: 25 1000 t2013: 24 1000 t2014: 16 1000 t2015: -5 1000 t2016: -20 1000 t2017: 16 1000 t2018: 18 1000 t2019: 19 1000 t2020: 19 1000 t2021: 5 1000 t2022: 1 1000 t2023: 1 1000 t

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

Analysis

The most recent figure for mutton & goat meat — stock variation in Eastern Africa is 1 1000 t, measured in 2023.

That represents a change of down 95.8% over ten years.

Over the whole period, mutton & goat meat — stock variation in Eastern Africa peaked at 25 1000 t in 2012 and was at its lowest, -20 1000 t, in 2016.

Eastern Africa ranks 15th 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 10.9 1000 t -20 1000 t 25 1000 t 10
2020s 6.5 1000 t 1 1000 t 19 1000 t 4

Countries ranked near Eastern Africa

  1. 13 Croatia 1 1000 t compare
  2. 13 Rwanda 1 1000 t compare
  3. 13 Australia 1 1000 t compare
  4. 13 Greece 1 1000 t compare
  5. 17 Tuvalu 0 1000 t
  6. 17 Naoero 0 1000 t
  7. 17 Tonga 0 1000 t
  8. 17 Marshall Islands 0 1000 t
  9. 17 Bhutan 0 1000 t
  10. 17 Qatar 0 1000 t compare
  11. 17 Bahrain 0 1000 t
  12. 17 Cuba 0 1000 t
  13. 17 Turkmenistan 0 1000 t compare
  14. 17 Kiribati 0 1000 t
  15. 17 Lesotho 0 1000 t compare
  16. 17 Guinea-Bissau 0 1000 t
  17. 17 Comoros 0 1000 t
  18. 17 Djibouti 0 1000 t
  19. 17 Sao Tome and Principe 0 1000 t
  20. 17 Liberia 0 1000 t
  21. 17 Mauritania 0 1000 t compare
  22. 17 Tajikistan 0 1000 t compare
  23. 17 Afghanistan 0 1000 t compare
  24. 17 China, Macao SAR 0 1000 t
  25. 17 Saint Kitts and Nevis 0 1000 t
  26. 17 Gambia 0 1000 t
  27. 17 Solomon Islands 0 1000 t
  28. 17 Libya 0 1000 t compare
  29. 17 Albania 0 1000 t
  30. 17 Sierra Leone 0 1000 t compare
  31. 17 Suriname 0 1000 t
  32. 17 Vanuatu 0 1000 t
  33. 17 Montenegro 0 1000 t compare
  34. 17 Maldives 0 1000 t
  35. 17 Armenia 0 1000 t
  36. 17 Uzbekistan 0 1000 t compare
  37. 17 Saint Vincent and the Grenadines 0 1000 t
  38. 17 Gabon 0 1000 t
  39. 17 Iceland 0 1000 t compare
  40. 17 Haiti 0 1000 t compare
  41. 17 Samoa 0 1000 t
  42. 17 Oman 0 1000 t compare
  43. 17 Guinea 0 1000 t compare
  44. 17 Saudi Arabia 0 1000 t compare
  45. 17 Eswatini 0 1000 t
  46. 17 Seychelles 0 1000 t
  47. 17 Estonia 0 1000 t
  48. 17 French Polynesia 0 1000 t
  49. 17 Iraq 0 1000 t compare
  50. 17 Guyana 0 1000 t
  51. 17 Papua New Guinea 0 1000 t compare
  52. 17 Angola 0 1000 t
  53. 17 Bosnia and Herzegovina 0 1000 t
  54. 17 Jordan 0 1000 t
  55. 17 Grenada 0 1000 t
  56. 17 Lithuania 0 1000 t compare
  57. 17 North Macedonia 0 1000 t
  58. 17 Azerbaijan 0 1000 t compare
  59. 17 Congo 0 1000 t
  60. 17 Georgia 0 1000 t compare
  61. 17 Niger 0 1000 t compare
  62. 17 Finland 0 1000 t compare
  63. 17 Paraguay 0 1000 t
  64. 17 Uruguay 0 1000 t compare
  65. 17 Belarus 0 1000 t
  66. 17 Bahamas 0 1000 t
  67. 17 New Caledonia 0 1000 t
  68. 17 Algeria 0 1000 t compare
  69. 17 Namibia 0 1000 t compare
  70. 17 Saint Lucia 0 1000 t
  71. 17 Burkina Faso 0 1000 t compare
  72. 17 Luxembourg 0 1000 t
  73. 17 Slovak Republic 0 1000 t
  74. 17 Latvia 0 1000 t
  75. 17 Chile 0 1000 t compare
  76. 17 Ukraine 0 1000 t compare
  77. 17 Ireland 0 1000 t compare
  78. 17 Norway 0 1000 t compare
  79. 17 Antigua and Barbuda 0 1000 t
  80. 17 Barbados 0 1000 t
  81. 17 Serbia 0 1000 t
  82. 17 Tunisia 0 1000 t compare
  83. 17 Argentina 0 1000 t compare
  84. 17 Czechia 0 1000 t compare
  85. 17 Myanmar 0 1000 t compare
  86. 17 Panama 0 1000 t
  87. 17 Yemen 0 1000 t
  88. 17 Israel 0 1000 t compare
  89. 17 Nicaragua 0 1000 t
  90. 17 Slovenia 0 1000 t
  91. 17 Netherlands (Kingdom of the) 0 1000 t compare
  92. 17 Bulgaria 0 1000 t compare
  93. 17 Belgium 0 1000 t compare
  94. 17 Switzerland 0 1000 t
  95. 17 Denmark 0 1000 t compare
  96. 17 Poland 0 1000 t compare
  97. 17 Dominican Republic 0 1000 t
  98. 17 Mauritius 0 1000 t compare
  99. 17 El Salvador 0 1000 t
  100. 17 Romania 0 1000 t compare
  101. 17 Belize 0 1000 t
  102. 17 Zambia 0 1000 t compare
  103. 17 Mozambique 0 1000 t
  104. 17 Portugal 0 1000 t compare
  105. 17 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
  106. 17 Malawi 0 1000 t
  107. 17 Jamaica 0 1000 t compare
  108. 17 Lebanon 0 1000 t
  109. 17 China, Hong Kong SAR 0 1000 t compare
  110. 17 Madagascar 0 1000 t
  111. 17 Canada 0 1000 t compare
  112. 17 Austria 0 1000 t compare
  113. 17 Malta 0 1000 t
  114. 17 France 0 1000 t
  115. 17 Trinidad and Tobago 0 1000 t
  116. 17 Ghana 0 1000 t compare
  117. 17 Malaysia 0 1000 t
  118. 17 Senegal 0 1000 t compare
  119. 17 Ecuador 0 1000 t
  120. 17 Kazakhstan 0 1000 t compare
  121. 17 China, Taiwan Province of 0 1000 t compare
  122. 17 Fiji 0 1000 t
  123. 17 Morocco 0 1000 t compare
  124. 17 Botswana 0 1000 t
  125. 17 Hungary 0 1000 t
  126. 17 Ethiopia 0 1000 t compare
  127. 17 Zimbabwe 0 1000 t
  128. 17 Bangladesh 0 1000 t compare
  129. 17 Cameroon 0 1000 t compare
  130. 17 Cambodia 0 1000 t
  131. 17 Cyprus 0 1000 t compare
  132. 17 Italy 0 1000 t compare
  133. 17 Nigeria 0 1000 t compare
  134. 17 South Africa 0 1000 t compare
  135. 17 Republic of Korea 0 1000 t
  136. 17 Philippines 0 1000 t compare
  137. 17 Uganda 0 1000 t
  138. 17 Sri Lanka 0 1000 t
  139. 17 Honduras 0 1000 t
  140. 17 Costa Rica 0 1000 t
  141. 17 Peru 0 1000 t compare
  142. 17 Spain 0 1000 t compare
  143. 17 India 0 1000 t compare
  144. 17 Thailand 0 1000 t
  145. 17 Mexico 0 1000 t compare
  146. 17 Egypt 0 1000 t compare
  147. 17 Colombia 0 1000 t compare
  148. 17 Guatemala 0 1000 t compare
  149. 17 Nepal 0 1000 t compare
  150. 17 Kenya 0 1000 t compare

See the full ranking of 213 places →

More agriculture & rural data for Eastern Africa

All data for Eastern Africa →

Frequently asked questions

What is mutton & goat meat — stock variation in Eastern Africa?
Mutton & goat meat — stock variation in Eastern Africa was 1 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest mutton & goat meat — stock variation recorded in Eastern Africa?
The highest recorded value was 25 1000 t in 2012.
What is the lowest mutton & goat meat — stock variation recorded in Eastern Africa?
The lowest recorded value was -20 1000 t in 2016.
How does Eastern Africa rank for mutton & goat meat — stock variation?
Eastern Africa ranks 15th out of 29 groups with data for 2023.
Is mutton & goat meat — stock variation rising or falling in Eastern Africa?
Over the last ten years it is down 95.8%. The long-run trend across the full record is volatile.
Where does this Eastern Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Mutton & Goat Meat — Stock Variation. Statizoid updates them automatically from the source API.

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Mutton & Goat Meat — Stock Variation in Eastern Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 22 August 2026, from https://agriculture.statizoid.com/stat/mutton-and-goat-meat-stock-variation/eastern-africa/

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About this data

Indicator
Mutton & Goat Meat — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,833 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.