Aquatic Animals, Others — Fat supply quantity in Malawi

Malawi: Aquatic Animals, Others — Fat supply quantity was 0 t in 2020. ◆ Volatile

Latest (2020)
0 t
Change on year
down 100.0%
World rank
137th
of 149 countries
All-time high
0.02 t
in 2014
All-time low
0 t
in 2018
Years of data
5
2014–2020

Aquatic Animals, Others — Fat supply quantity in Malawi, 2014–2020

00.0050.010.0150.022014201720202014: 0.02 t2017: 0.02 t2018: 0 t2019: 0.02 t2020: 0 t

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

Analysis

Malawi recorded 0 t for aquatic animals, others — fat supply quantity in 2020. That is the lowest value across all 5 years on record.

The figure is down 100.0% on the previous year and down 100.0% over ten years.

Malawi ranks 137th of 149 countries on this measure, in the bottom quarter.

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.015 t 0 t 0.02 t 4
2020s 0 t 0 t 0 t 1

Countries ranked near Malawi

  1. 137 Marshall Islands 0 t
  2. 137 Kiribati 0 t compare
  3. 137 Tajikistan 0 t compare
  4. 137 Liberia 0 t
  5. 137 Uzbekistan 0 t compare
  6. 137 Kyrgyzstan 0 t
  7. 137 Paraguay 0 t compare
  8. 137 North Macedonia 0 t compare
  9. 137 Saint Lucia 0 t compare
  10. 137 Rwanda 0 t compare
  11. 137 Uruguay 0 t compare
  12. 137 Zambia 0 t compare

See the full ranking of 197 places →

More agriculture & rural data for Malawi

All data for Malawi →

Frequently asked questions

What is aquatic animals, others — fat supply quantity in Malawi?
Aquatic animals, others — fat supply quantity in Malawi was 0 t in 2020, according to Food and Agriculture Organization of the United Nations.
What is the highest aquatic animals, others — fat supply quantity recorded in Malawi?
The highest recorded value was 0.02 t in 2014.
What is the lowest aquatic animals, others — fat supply quantity recorded in Malawi?
The lowest recorded value was 0 t in 2018.
How does Malawi rank for aquatic animals, others — fat supply quantity?
Malawi ranks 137th out of 149 countries with data for 2020.
Is aquatic animals, others — fat supply quantity rising or falling in Malawi?
Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
Where does this Malawi data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Aquatic Animals, Others — Fat supply quantity (t). Statizoid updates them automatically from the source API.

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Aquatic Animals, Others — Fat supply quantity in Malawi. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://agriculture.statizoid.com/stat/aquatic-animals-others-fat-supply-quantity-t/malawi/

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About this data

Indicator
Aquatic Animals, Others — Fat supply quantity (t)
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
197 places, 2,395 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.