Meat — Losses in South America

South America: Meat — Losses was 856 1000 t in 2023. ▲ Rising

Latest (2023)
856 1000 t
Change on year
up 1.8%
Rank
3rd
of 30 groups
All-time high
856 1000 t
in 2023
All-time low
601 1000 t
in 2010
Years of data
14
2010–2023

Meat — Losses in South America, 2010–2023

02004006008002010201620232010: 601 1000 t2011: 613 1000 t2012: 654 1000 t2013: 687 1000 t2014: 689 1000 t2015: 692 1000 t2016: 701 1000 t2017: 732 1000 t2018: 779 1000 t2019: 827 1000 t2020: 821 1000 t2021: 816 1000 t2022: 841 1000 t2023: 856 1000 t

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

Analysis

The most recent figure for meat — losses in South America is 856 1000 t, measured in 2023. That is the highest value across all 14 years on record.

The figure is up 1.8% on the previous year and up 24.6% over ten years.

Over the whole period, meat — losses in South America peaked at 856 1000 t in 2023 and was at its lowest, 601 1000 t, in 2010.

That places South America 3rd out of 30 groups with data for 2023, putting it in the top 10%.

The long-run direction has been consistently rising across the 14 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2010s 697.5 1000 t 601 1000 t 827 1000 t 10
2020s 833.5 1000 t 816 1000 t 856 1000 t 4

Countries ranked near South America

  1. 1 Peru 518 1000 t compare
  2. 2 Argentina 306 1000 t compare
  3. 3 Canada 189 1000 t compare
  4. 4 Thailand 70 1000 t compare
  5. 5 Guatemala 43 1000 t compare
  6. 6 Mongolia 39 1000 t compare

See the full ranking of 84 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is meat — losses in South America?
Meat — losses in South America was 856 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest meat — losses recorded in South America?
The highest recorded value was 856 1000 t in 2023.
What is the lowest meat — losses recorded in South America?
The lowest recorded value was 601 1000 t in 2010.
How does South America rank for meat — losses?
South America ranks 3rd out of 30 groups with data for 2023.
Is meat — losses rising or falling in South America?
Over the last ten years it is up 24.6%. The long-run trend across the full record is rising.
Where does this South America data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Meat — Losses. Statizoid updates them automatically from the source API.

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Meat — Losses in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/meat-losses/south-america/

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About this data

Indicator
Meat — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
84 places, 980 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.