Statizoid

Animal fats — Losses in Mozambique

Mozambique: Animal fats — Losses was 0 1000 t in 2023. ◆ Volatile

Latest (2023)
0 1000 t
Change on year
down 100.0%
World rank
76th
of 163 countries
All-time high
1 1000 t
in 2019
All-time low
0 1000 t
in 2010
Years of data
14
2010–2023

Animal fats — Losses in Mozambique, 2010–2023

00.20.40.60.812010201620232010: 0 1000 t2011: 0 1000 t2012: 0 1000 t2013: 0 1000 t2014: 0 1000 t2015: 0 1000 t2016: 0 1000 t2017: 0 1000 t2018: 0 1000 t2019: 1 1000 t2020: 1 1000 t2021: 1 1000 t2022: 1 1000 t2023: 0 1000 t

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

Analysis

In 2023, animal fats — losses in Mozambique stood at 0 1000 t. That is the lowest value across all 14 years on record.

That represents a change of down 100.0% on the previous year.

Over the whole period, animal fats — losses in Mozambique peaked at 1 1000 t in 2019 and was at its lowest, 0 1000 t, in 2010.

Mozambique ranks 76th of 163 countries 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.

Animal fats — Losses in Mozambique, year by year

Year 1000 t Change
2010 0 1000 t —
2011 0 1000 t —
2012 0 1000 t —
2013 0 1000 t —
2014 0 1000 t —
2015 0 1000 t —
2016 0 1000 t —
2017 0 1000 t —
2018 0 1000 t —
2019 1 1000 t —
2020 1 1000 t +0.0%
2021 1 1000 t +0.0%
2022 1 1000 t +0.0%
2023 0 1000 t -100.0%

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.1 1000 t 0 1000 t 1 1000 t 10
2020s 0.75 1000 t 0 1000 t 1 1000 t 4

Countries ranked near Mozambique

  1. 76 Tuvalu 0 1000 t
  2. 76 Naoero 0 1000 t
  3. 76 Tonga 0 1000 t
  4. 76 Marshall Islands 0 1000 t
  5. 76 Bhutan 0 1000 t
  6. 76 Qatar 0 1000 t
  7. 76 Bahrain 0 1000 t
  8. 76 Lesotho 0 1000 t
  9. 76 Kiribati 0 1000 t
  10. 76 Guinea-Bissau 0 1000 t
  11. 76 Comoros 0 1000 t
  12. 76 Djibouti 0 1000 t
  13. 76 Sao Tome and Principe 0 1000 t
  14. 76 Liberia 0 1000 t
  15. 76 Mauritania 0 1000 t
  16. 76 China, Macao SAR 0 1000 t
  17. 76 Saint Kitts and Nevis 0 1000 t
  18. 76 Gambia 0 1000 t
  19. 76 Solomon Islands 0 1000 t
  20. 76 Libya 0 1000 t
  21. 76 Albania 0 1000 t
  22. 76 Sierra Leone 0 1000 t
  23. 76 Kuwait 0 1000 t
  24. 76 Suriname 0 1000 t
  25. 76 Vanuatu 0 1000 t
  26. 76 Montenegro 0 1000 t
  27. 76 Armenia 0 1000 t
  28. 76 Saint Vincent and the Grenadines 0 1000 t
  29. 76 Gabon 0 1000 t
  30. 76 Guinea 0 1000 t
  31. 76 Haiti 0 1000 t
  32. 76 Iceland 0 1000 t
  33. 76 Eswatini 0 1000 t
  34. 76 Iraq 0 1000 t
  35. 76 Samoa 0 1000 t
  36. 76 Oman 0 1000 t
  37. 76 Guyana 0 1000 t
  38. 76 Papua New Guinea 0 1000 t
  39. 76 French Polynesia 0 1000 t
  40. 76 Seychelles 0 1000 t
  41. 76 Jordan 0 1000 t
  42. 76 Estonia 0 1000 t
  43. 76 North Macedonia 0 1000 t
  44. 76 Bosnia and Herzegovina 0 1000 t
  45. 76 Grenada 0 1000 t
  46. 76 Niger 0 1000 t
  47. 76 Congo 0 1000 t
  48. 76 Georgia 0 1000 t
  49. 76 Lithuania 0 1000 t
  50. 76 Bahamas 0 1000 t
  51. 76 Namibia 0 1000 t
  52. 76 Saint Lucia 0 1000 t
  53. 76 Luxembourg 0 1000 t
  54. 76 New Caledonia 0 1000 t
  55. 76 Slovakia 0 1000 t compare
  56. 76 Latvia 0 1000 t
  57. 76 Serbia 0 1000 t
  58. 76 Antigua and Barbuda 0 1000 t
  59. 76 Croatia 0 1000 t
  60. 76 Tunisia 0 1000 t
  61. 76 Barbados 0 1000 t
  62. 76 Israel 0 1000 t compare
  63. 76 Panama 0 1000 t
  64. 76 Rwanda 0 1000 t
  65. 76 Slovenia 0 1000 t compare
  66. 76 El Salvador 0 1000 t
  67. 76 Belize 0 1000 t
  68. 76 Mauritius 0 1000 t
  69. 76 Romania 0 1000 t compare
  70. 76 United Arab Emirates 0 1000 t compare
  71. 76 Lebanon 0 1000 t
  72. 76 Madagascar 0 1000 t compare
  73. 76 Jamaica 0 1000 t
  74. 76 Sweden 0 1000 t
  75. 76 China, Hong Kong SAR 0 1000 t compare
  76. 76 Ghana 0 1000 t
  77. 76 Trinidad and Tobago 0 1000 t
  78. 76 Malta 0 1000 t
  79. 76 Senegal 0 1000 t
  80. 76 Botswana 0 1000 t
  81. 76 Fiji 0 1000 t
  82. 76 South Africa 0 1000 t compare
  83. 76 Cyprus 0 1000 t
  84. 76 Sri Lanka 0 1000 t
  85. 76 Honduras 0 1000 t
  86. 76 Costa Rica 0 1000 t
  87. 76 Nepal 0 1000 t compare

See the full ranking of 212 places →

More agriculture & rural data for Mozambique

All data for Mozambique →

Frequently asked questions

What is animal fats — losses in Mozambique?
Animal fats — losses in Mozambique was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest animal fats — losses recorded in Mozambique?
The highest recorded value was 1 1000 t in 2019.
What is the lowest animal fats — losses recorded in Mozambique?
The lowest recorded value was 0 1000 t in 2010.
How does Mozambique rank for animal fats — losses?
Mozambique ranks 76th out of 163 countries with data for 2023.
Where does this Mozambique data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Animal fats — Losses. Statizoid updates them automatically from the source API.

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Animal fats — Losses in Mozambique. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 25 August 2026, from https://agriculture.statizoid.com/stat/animal-fats-losses/mozambique/

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About this data

Indicator
Animal fats — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,823 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.