Statizoid

Animal fats — Residuals in Low Income Food Deficit Countries (LIFDCs)

Low Income Food Deficit Countries (LIFDCs): Animal fats — Residuals was 1 1000 t in 2023. ◆ Volatile

Latest (2023)
1 1000 t
Change on year
unchanged
Rank
7th
of 29 groups
All-time high
3 1000 t
in 2012
All-time low
-7 1000 t
in 2014
Years of data
14
2010–2023

Animal fats — Residuals in Low Income Food Deficit Countries (LIFDCs), 2010–2023

-8-6-4-20242010201620232010: -1 1000 t2011: 1 1000 t2012: 3 1000 t2013: 2 1000 t2014: -7 1000 t2015: -2 1000 t2016: 1 1000 t2017: 2 1000 t2018: -1 1000 t2019: -3 1000 t2020: -1 1000 t2021: 0 1000 t2022: 1 1000 t2023: 1 1000 t

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

Analysis

Low Income Food Deficit Countries (LIFDCs) recorded 1 1000 t for animal fats — residuals in 2023.

Compared with earlier readings it is down 50.0% over ten years.

Over the whole period, animal fats — residuals in Low Income Food Deficit Countries (LIFDCs) peaked at 3 1000 t in 2012 and was at its lowest, -7 1000 t, in 2014.

Low Income Food Deficit Countries (LIFDCs) ranks 7th of 29 groups on this measure, in the top quarter.

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

Animal fats — Residuals in Low Income Food Deficit Countries (LIFDCs), year by year

Year 1000 t Change
2010 -1 1000 t —
2011 1 1000 t -200.0%
2012 3 1000 t +200.0%
2013 2 1000 t -33.3%
2014 -7 1000 t -450.0%
2015 -2 1000 t -71.4%
2016 1 1000 t -150.0%
2017 2 1000 t +100.0%
2018 -1 1000 t -150.0%
2019 -3 1000 t +200.0%
2020 -1 1000 t -66.7%
2021 0 1000 t -100.0%
2022 1 1000 t —
2023 1 1000 t +0.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s -0.5 1000 t -7 1000 t 3 1000 t 10
2020s 0.25 1000 t -1 1000 t 1 1000 t 4

Countries ranked near Low Income Food Deficit Countries (LIFDCs)

  1. 4 Ecuador 5 1000 t compare
  2. 5 Uzbekistan 2 1000 t compare
  3. 6 Bulgaria 1 1000 t compare
  4. 7 Tuvalu 0 1000 t
  5. 7 Naoero 0 1000 t
  6. 7 Tonga 0 1000 t
  7. 7 Marshall Islands 0 1000 t
  8. 7 Bhutan 0 1000 t
  9. 7 Qatar 0 1000 t
  10. 7 Bahrain 0 1000 t compare
  11. 7 Cuba 0 1000 t
  12. 7 Turkmenistan 0 1000 t
  13. 7 Lesotho 0 1000 t
  14. 7 Kiribati 0 1000 t
  15. 7 Guinea-Bissau 0 1000 t
  16. 7 Comoros 0 1000 t
  17. 7 Djibouti 0 1000 t compare
  18. 7 Sao Tome and Principe 0 1000 t
  19. 7 Liberia 0 1000 t
  20. 7 Mauritania 0 1000 t
  21. 7 Afghanistan 0 1000 t compare
  22. 7 Tajikistan 0 1000 t
  23. 7 China, Macao SAR 0 1000 t
  24. 7 Gambia 0 1000 t compare
  25. 7 Saint Kitts and Nevis 0 1000 t
  26. 7 Solomon Islands 0 1000 t
  27. 7 Libya 0 1000 t
  28. 7 Albania 0 1000 t
  29. 7 Sierra Leone 0 1000 t
  30. 7 Kuwait 0 1000 t compare
  31. 7 Suriname 0 1000 t
  32. 7 Vanuatu 0 1000 t
  33. 7 Montenegro 0 1000 t
  34. 7 Maldives 0 1000 t
  35. 7 Armenia 0 1000 t
  36. 7 Saint Vincent and the Grenadines 0 1000 t
  37. 7 Gabon 0 1000 t
  38. 7 Saudi Arabia 0 1000 t compare
  39. 7 Guinea 0 1000 t
  40. 7 Haiti 0 1000 t
  41. 7 Kyrgyzstan 0 1000 t compare
  42. 7 Eswatini 0 1000 t
  43. 7 Iraq 0 1000 t
  44. 7 Guyana 0 1000 t
  45. 7 Oman 0 1000 t compare
  46. 7 Samoa 0 1000 t
  47. 7 Papua New Guinea 0 1000 t
  48. 7 French Polynesia 0 1000 t
  49. 7 Seychelles 0 1000 t
  50. 7 Angola 0 1000 t
  51. 7 Jordan 0 1000 t
  52. 7 Estonia 0 1000 t compare
  53. 7 North Macedonia 0 1000 t
  54. 7 Grenada 0 1000 t
  55. 7 Niger 0 1000 t
  56. 7 Congo 0 1000 t
  57. 7 Georgia 0 1000 t compare
  58. 7 Paraguay 0 1000 t compare
  59. 7 Algeria 0 1000 t
  60. 7 Namibia 0 1000 t compare
  61. 7 Bahamas 0 1000 t
  62. 7 Burkina Faso 0 1000 t compare
  63. 7 Saint Lucia 0 1000 t
  64. 7 Luxembourg 0 1000 t
  65. 7 New Caledonia 0 1000 t
  66. 7 Slovakia 0 1000 t compare
  67. 7 Ukraine 0 1000 t compare
  68. 7 Chile 0 1000 t compare
  69. 7 Norway 0 1000 t compare
  70. 7 Serbia 0 1000 t
  71. 7 Antigua and Barbuda 0 1000 t
  72. 7 Yemen 0 1000 t
  73. 7 Myanmar 0 1000 t
  74. 7 Barbados 0 1000 t
  75. 7 Israel 0 1000 t compare
  76. 7 Panama 0 1000 t compare
  77. 7 Rwanda 0 1000 t
  78. 7 Nicaragua 0 1000 t compare
  79. 7 El Salvador 0 1000 t
  80. 7 Malawi 0 1000 t
  81. 7 Belize 0 1000 t
  82. 7 Mozambique 0 1000 t
  83. 7 Zambia 0 1000 t
  84. 7 Dominican Republic 0 1000 t compare
  85. 7 Mauritius 0 1000 t
  86. 7 Lebanon 0 1000 t compare
  87. 7 Madagascar 0 1000 t
  88. 7 Jamaica 0 1000 t
  89. 7 New Zealand 0 1000 t compare
  90. 7 China, Hong Kong SAR 0 1000 t compare
  91. 7 Senegal 0 1000 t
  92. 7 Trinidad and Tobago 0 1000 t compare
  93. 7 Malta 0 1000 t
  94. 7 Kazakhstan 0 1000 t compare
  95. 7 China, Taiwan Province of 0 1000 t
  96. 7 Zimbabwe 0 1000 t
  97. 7 Fiji 0 1000 t
  98. 7 Ethiopia 0 1000 t
  99. 7 Bangladesh 0 1000 t compare
  100. 7 Cameroon 0 1000 t
  101. 7 Pakistan 0 1000 t compare
  102. 7 Nigeria 0 1000 t
  103. 7 Cambodia 0 1000 t
  104. 7 Republic of Korea 0 1000 t compare
  105. 7 Uganda 0 1000 t compare
  106. 7 Cyprus 0 1000 t compare
  107. 7 Philippines 0 1000 t
  108. 7 Sri Lanka 0 1000 t compare
  109. 7 Honduras 0 1000 t compare
  110. 7 Peru 0 1000 t
  111. 7 India 0 1000 t compare
  112. 7 Mexico 0 1000 t compare
  113. 7 Egypt 0 1000 t compare
  114. 7 Nepal 0 1000 t
  115. 7 Kenya 0 1000 t
  116. 8 Cabo Verde 0 1000 t
  117. 8 Côte d'Ivoire 0 1000 t compare

See the full ranking of 213 places →

More agriculture & rural data for Low Income Food Deficit Countries (LIFDCs)

All data for Low Income Food Deficit Countries (LIFDCs) →

Frequently asked questions

What is animal fats — residuals in Low Income Food Deficit Countries (LIFDCs)?
Animal fats — residuals in Low Income Food Deficit Countries (LIFDCs) was 1 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest animal fats — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The highest recorded value was 3 1000 t in 2012.
What is the lowest animal fats — residuals recorded in Low Income Food Deficit Countries (LIFDCs)?
The lowest recorded value was -7 1000 t in 2014.
How does Low Income Food Deficit Countries (LIFDCs) rank for animal fats — residuals?
Low Income Food Deficit Countries (LIFDCs) ranks 7th out of 29 groups with data for 2023.
Is animal fats — residuals rising or falling in Low Income Food Deficit Countries (LIFDCs)?
Over the last ten years it is down 50.0%. The long-run trend across the full record is volatile.
Where does this Low Income Food Deficit Countries (LIFDCs) data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Animal fats — Residuals. Statizoid updates them automatically from the source API.

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Animal fats — Residuals in Low Income Food Deficit Countries (LIFDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 13 September 2026, from https://agriculture.statizoid.com/stat/animal-fats-residuals/low-income-food-deficit-countries-lifdcs/

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About this data

Indicator
Animal fats — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,901 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.