Statizoid

Fats, Animals, Raw — Stock Variation in Bangladesh

Bangladesh: Fats, Animals, Raw — Stock Variation was 0 1000 t in 2023. ▬ Flat

Latest (2023)
0 1000 t
World rank
27th
of 160 countries
All-time high
0 1000 t
in 2014
All-time low
0 1000 t
in 2014
Years of data
10
2014–2023

Fats, Animals, Raw — Stock Variation in Bangladesh, 2014–2023

00.20.40.60.812014201820232014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t2018: 0 1000 t2019: 0 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, fats, animals, raw — stock variation in Bangladesh stood at 0 1000 t. That is the highest value across all 10 years on record.

Over the whole period, fats, animals, raw — stock variation in Bangladesh peaked at 0 1000 t in 2014 and was at its lowest, 0 1000 t, in 2014.

Bangladesh ranks 27th of 160 countries on this measure, in the top quarter.

Averages by decade

DecadeAverage LowestHighest Years
2010s 0 1000 t 0 1000 t 0 1000 t 6
2020s 0 1000 t 0 1000 t 0 1000 t 4

Countries ranked near Bangladesh

  1. 27 Tuvalu 0 1000 t compare
  2. 27 Nauru, Republic of 0 1000 t compare
  3. 27 Tonga 0 1000 t compare
  4. 27 Marshall Islands, Republic of the 0 1000 t compare
  5. 27 Bhutan 0 1000 t compare
  6. 27 Qatar 0 1000 t compare
  7. 27 Bahrain, Kingdom of 0 1000 t compare
  8. 27 Cuba 0 1000 t compare
  9. 27 Turkmenistan 0 1000 t compare
  10. 27 Kiribati 0 1000 t compare
  11. 27 Comoros, Union of the 0 1000 t compare
  12. 27 Djibouti 0 1000 t compare
  13. 27 São Tomé and Príncipe, Democratic Republic of 0 1000 t compare
  14. 27 Liberia 0 1000 t compare
  15. 27 Mauritania, Islamic Republic of 0 1000 t compare
  16. 27 Afghanistan, Islamic Republic of 0 1000 t compare
  17. 27 China, Macao SAR 0 1000 t compare
  18. 27 Gambia, The 0 1000 t compare
  19. 27 St. Kitts and Nevis 0 1000 t compare
  20. 27 Solomon Islands 0 1000 t compare
  21. 27 Libya 0 1000 t compare
  22. 27 Sierra Leone 0 1000 t compare
  23. 27 Kuwait 0 1000 t compare
  24. 27 Suriname 0 1000 t compare
  25. 27 Montenegro 0 1000 t compare
  26. 27 Vanuatu 0 1000 t compare
  27. 27 Maldives 0 1000 t compare
  28. 27 Armenia, Republic of 0 1000 t compare
  29. 27 Uzbekistan, Republic of 0 1000 t compare
  30. 27 Gabon 0 1000 t compare
  31. 27 Eswatini, Kingdom of 0 1000 t compare
  32. 27 Saudi Arabia 0 1000 t compare
  33. 27 Guinea 0 1000 t compare
  34. 27 Haiti 0 1000 t compare
  35. 27 Guyana 0 1000 t compare
  36. 27 Iraq 0 1000 t compare
  37. 27 Kyrgyz Republic 0 1000 t compare
  38. 27 Papua New Guinea 0 1000 t compare
  39. 27 Iceland 0 1000 t compare
  40. 27 Oman 0 1000 t compare
  41. 27 Samoa 0 1000 t compare
  42. 27 French Polynesia 0 1000 t compare
  43. 27 Seychelles 0 1000 t compare
  44. 27 Grenada 0 1000 t compare
  45. 27 North Macedonia, Republic of 0 1000 t compare
  46. 27 Bosnia and Herzegovina 0 1000 t compare
  47. 27 Jordan 0 1000 t compare
  48. 27 Azerbaijan, Republic of 0 1000 t compare
  49. 27 Estonia, Republic of 0 1000 t compare
  50. 27 Niger 0 1000 t compare
  51. 27 Congo, Republic of 0 1000 t compare
  52. 27 Algeria 0 1000 t compare
  53. 27 Georgia 0 1000 t compare
  54. 27 Paraguay 0 1000 t compare
  55. 27 Lithuania, Republic of 0 1000 t compare
  56. 27 Finland 0 1000 t compare
  57. 27 Bahamas, The 0 1000 t compare
  58. 27 Burkina Faso 0 1000 t compare
  59. 27 St. Lucia 0 1000 t compare
  60. 27 New Caledonia 0 1000 t compare
  61. 27 Luxembourg 0 1000 t compare
  62. 27 Latvia, Republic of 0 1000 t compare
  63. 27 Israel 0 1000 t compare
  64. 27 Myanmar 0 1000 t compare
  65. 27 Serbia, Republic of 0 1000 t compare
  66. 27 Antigua and Barbuda 0 1000 t compare
  67. 27 Yemen, Republic of 0 1000 t compare
  68. 27 Tunisia 0 1000 t compare
  69. 27 Barbados 0 1000 t compare
  70. 27 Panama 0 1000 t compare
  71. 27 Rwanda 0 1000 t compare
  72. 27 Nicaragua 0 1000 t compare
  73. 27 Slovenia, Republic of 0 1000 t compare
  74. 27 Bulgaria 0 1000 t compare
  75. 27 Dominican Republic 0 1000 t compare
  76. 27 El Salvador 0 1000 t compare
  77. 27 Switzerland 0 1000 t compare
  78. 27 Malawi 0 1000 t compare
  79. 27 Belize 0 1000 t compare
  80. 27 Belgium 0 1000 t compare
  81. 27 Mozambique, Republic of 0 1000 t compare
  82. 27 Mauritius 0 1000 t compare
  83. 27 Lebanon 0 1000 t compare
  84. 27 Madagascar, Republic of 0 1000 t compare
  85. 27 Portugal 0 1000 t compare
  86. 27 Poland, Republic of 0 1000 t compare
  87. 27 Romania 0 1000 t compare
  88. 27 Jamaica 0 1000 t compare
  89. 27 Russian Federation 0 1000 t compare
  90. 27 Austria 0 1000 t compare
  91. 27 Ghana 0 1000 t compare
  92. 27 China, Hong Kong SAR 0 1000 t compare
  93. 27 Senegal 0 1000 t compare
  94. 27 Malta 0 1000 t compare
  95. 27 China, Taiwan Province of 0 1000 t compare
  96. 27 Zimbabwe 0 1000 t compare
  97. 27 Ethiopia, The Federal Democratic Republic of 0 1000 t compare
  98. 27 Botswana 0 1000 t compare
  99. 27 Fiji, Republic of 0 1000 t compare
  100. 27 Cameroon 0 1000 t compare
  101. 27 Pakistan 0 1000 t compare
  102. 27 Nigeria 0 1000 t compare
  103. 27 Cambodia 0 1000 t compare
  104. 27 Greece 0 1000 t compare
  105. 27 South Africa 0 1000 t compare
  106. 27 Uganda 0 1000 t compare
  107. 27 Italy 0 1000 t compare
  108. 27 Cyprus 0 1000 t compare
  109. 27 Sri Lanka 0 1000 t compare
  110. 27 Costa Rica 0 1000 t compare
  111. 27 India 0 1000 t compare
  112. 27 Honduras 0 1000 t compare
  113. 27 Spain 0 1000 t compare
  114. 27 Brazil 0 1000 t compare
  115. 27 Thailand 0 1000 t compare
  116. 27 Colombia 0 1000 t compare
  117. 27 Egypt, Arab Republic of 0 1000 t compare
  118. 27 Australia and New Zealand 0 1000 t compare
  119. 27 Guatemala 0 1000 t compare
  120. 27 Nepal 0 1000 t compare
  121. 27 Kenya 0 1000 t compare

See the full ranking of 208 places →

More agriculture & rural data for Bangladesh

All data for Bangladesh →

Frequently asked questions

What is fats, animals, raw — stock variation in Bangladesh?
Fats, animals, raw — stock variation in Bangladesh was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fats, animals, raw — stock variation recorded in Bangladesh?
The highest recorded value was 0 1000 t in 2014.
What is the lowest fats, animals, raw — stock variation recorded in Bangladesh?
The lowest recorded value was 0 1000 t in 2014.
How does Bangladesh rank for fats, animals, raw — stock variation?
Bangladesh ranks 27th out of 160 countries with data for 2023.
Where does this Bangladesh data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Fats, Animals, Raw — Stock Variation. Statizoid updates them automatically from the source API.

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Fats, Animals, Raw — Stock Variation in Bangladesh. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 19 August 2026, from https://agriculture.statizoid.com/stat/fats-animals-raw-stock-variation/bangladesh/

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About this data

Indicator
Fats, Animals, Raw — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
208 places, 2,794 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.