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Mutton & Goat Meat — Stock Variation in Bangladesh

Bangladesh: Mutton & Goat Meat — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
World rank
17th
of 164 countries
All-time high
8 1000 t
in 2011
All-time low
-21 1000 t
in 2016
Years of data
14
2010–2023

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

-20-100102010201620232010: 7 1000 t2011: 8 1000 t2012: 2 1000 t2013: -1 1000 t2014: -5 1000 t2015: -12 1000 t2016: -21 1000 t2017: -1 1000 t2018: 0 1000 t2019: -1 1000 t2020: 0 1000 t2021: 0 1000 t2022: 0 1000 t2023: 0 1000 t

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

Analysis

In 2023, mutton & goat meat — stock variation in Bangladesh stood at 0 1000 t.

The figure is up 100.0% over ten years.

Over the whole period, mutton & goat meat — stock variation in Bangladesh peaked at 8 1000 t in 2011 and was at its lowest, -21 1000 t, in 2016.

That places Bangladesh 17th out of 164 countries with data for 2023, putting it in the top 10%.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s -2.4 1000 t -21 1000 t 8 1000 t 10
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Bangladesh

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

See the full ranking of 213 places →

More agriculture & rural data for Bangladesh

All data for Bangladesh →

Frequently asked questions

What is mutton & goat meat — stock variation in Bangladesh?
Mutton & goat meat — stock variation in Bangladesh was 0 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 Bangladesh?
The highest recorded value was 8 1000 t in 2011.
What is the lowest mutton & goat meat — stock variation recorded in Bangladesh?
The lowest recorded value was -21 1000 t in 2016.
How does Bangladesh rank for mutton & goat meat — stock variation?
Bangladesh ranks 17th out of 164 countries with data for 2023.
Is mutton & goat meat — stock variation rising or falling in Bangladesh?
Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
Where does this Bangladesh 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 Bangladesh. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 21 August 2026, from https://agriculture.statizoid.com/stat/mutton-and-goat-meat-stock-variation/bangladesh/

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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.