Sugar (Raw Equivalent) — Losses in South America

South America: Sugar (Raw Equivalent) — Losses was 5 1000 t in 2023. ◆ Volatile

Latest (2023)
5 1000 t
Change on year
up 25.0%
Rank
3rd
of 10 groups
All-time high
36 1000 t
in 2013
All-time low
4 1000 t
in 2020
Years of data
14
2010–2023

Sugar (Raw Equivalent) — Losses in South America, 2010–2023

0102030402010201620232010: 31 1000 t2011: 32 1000 t2012: 33 1000 t2013: 36 1000 t2014: 36 1000 t2015: 35 1000 t2016: 31 1000 t2017: 36 1000 t2018: 32 1000 t2019: 6 1000 t2020: 4 1000 t2021: 5 1000 t2022: 4 1000 t2023: 5 1000 t

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

Analysis

In 2023, sugar (raw equivalent) — losses in South America stood at 5 1000 t.

Compared with earlier readings it is up 25.0% on the previous year and down 86.1% over ten years.

Over the whole period, sugar (raw equivalent) — losses in South America peaked at 36 1000 t in 2013 and was at its lowest, 4 1000 t, in 2020.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 30.8 1000 t 6 1000 t 36 1000 t 10
2020s 4.5 1000 t 4 1000 t 5 1000 t 4

Countries ranked near South America

  1. 1 Peru 26 1000 t compare
  2. 2 Dominican Republic 19 1000 t compare
  3. 3 Romania 3 1000 t compare
  4. 4 Israel 0 1000 t compare
  5. 4 China, Hong Kong SAR 0 1000 t compare
  6. 4 Panama 0 1000 t compare
  7. 4 China, People's Republic of 0 1000 t compare

See the full ranking of 21 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is sugar (raw equivalent) — losses in South America?
Sugar (raw equivalent) — losses in South America was 5 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest sugar (raw equivalent) — losses recorded in South America?
The highest recorded value was 36 1000 t in 2013.
What is the lowest sugar (raw equivalent) — losses recorded in South America?
The lowest recorded value was 4 1000 t in 2020.
How does South America rank for sugar (raw equivalent) — losses?
South America ranks 3rd out of 10 groups with data for 2023.
Is sugar (raw equivalent) — losses rising or falling in South America?
Over the last ten years it is down 86.1%. The long-run trend across the full record is volatile.
Where does this South America data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar (Raw Equivalent) — Losses. Statizoid updates them automatically from the source API.

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CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

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Sugar (Raw Equivalent) — Losses in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 August 2026, from https://agriculture.statizoid.com/stat/sugar-raw-equivalent-losses/south-america/

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About this data

Indicator
Sugar (Raw Equivalent) — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
21 places, 232 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.