Meat, Other — Stock Variation in Southern Asia

Southern Asia: Meat, Other — Stock Variation was 0 1000 t in 2023. ▬ Flat

Latest (2023)
0 1000 t
Rank
10th
of 37 groups
All-time high
4 1000 t
in 2017
All-time low
-4 1000 t
in 2014
Years of data
14
2010–2023

Meat, Other — Stock Variation in Southern Asia, 2010–2023

-4-20242010201620232010: 0 1000 t2011: -1 1000 t2012: -1 1000 t2013: 1 1000 t2014: -4 1000 t2015: -1 1000 t2016: -1 1000 t2017: 4 1000 t2018: 1 1000 t2019: 2 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

The most recent figure for meat, other — stock variation in Southern Asia is 0 1000 t, measured in 2023.

That represents a change of down 100.0% over ten years.

Over the whole period, meat, other — stock variation in Southern Asia peaked at 4 1000 t in 2017 and was at its lowest, -4 1000 t, in 2014.

Southern Asia ranks 10th of 37 groups on this measure, in the top quarter.

Averages by decade

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

Countries ranked near Southern Asia

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

See the full ranking of 209 places →

More agriculture & rural data for Southern Asia

All data for Southern Asia →

Frequently asked questions

What is meat, other — stock variation in Southern Asia?
Meat, other — stock variation in Southern Asia 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 Southern Asia?
The highest recorded value was 4 1000 t in 2017.
What is the lowest meat, other — stock variation recorded in Southern Asia?
The lowest recorded value was -4 1000 t in 2014.
How does Southern Asia rank for meat, other — stock variation?
Southern Asia ranks 10th out of 37 groups with data for 2023.
Is meat, other — stock variation rising or falling in Southern Asia?
Over the last ten years it is down 100.0%. The long-run trend across the full record is flat.
Where does this Southern Asia 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 Southern Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 20 August 2026, from https://agriculture.statizoid.com/stat/meat-other-stock-variation/southern-asia/

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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.