Starchy Roots — Stock Variation in South America

South America: Starchy Roots — Stock Variation was -374 1000 t in 2023. ◆ Volatile

Latest (2023)
-374 1000 t
Change on year
up 34.3%
Rank
38th
of 39 groups
All-time high
1,648 1000 t
in 2016
All-time low
-569 1000 t
in 2022
Years of data
14
2010–2023

Starchy Roots — Stock Variation in South America, 2010–2023

-50005001.0k1.5k2010201620232010: -350 1000 t2011: 24 1000 t2012: -504 1000 t2013: -304 1000 t2014: 354 1000 t2015: 1.1k 1000 t2016: 1.6k 1000 t2017: 773 1000 t2018: 177 1000 t2019: -229 1000 t2020: -548 1000 t2021: -226 1000 t2022: -569 1000 t2023: -374 1000 t

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

Analysis

The most recent figure for starchy roots — stock variation in South America is -374 1000 t, measured in 2023.

The figure is up 34.3% on the previous year and down 23.0% over ten years.

Over the whole period, starchy roots — stock variation in South America peaked at 1,648 1000 t in 2016 and was at its lowest, -569 1000 t, in 2022.

That places South America 38th out of 39 groups with data for 2023, putting it in the bottom quarter.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 264.3 1000 t -504 1000 t 1,648 1000 t 10
2020s -429.25 1000 t -569 1000 t -226 1000 t 4

Countries ranked near South America

  1. 36 Norway 19 1000 t compare
  2. 37 Morocco 16 1000 t compare
  3. 38 Pakistan 15 1000 t compare
  4. 39 Greece 14 1000 t compare
  5. 40 Haiti 12 1000 t compare
  6. 40 Bulgaria 12 1000 t compare

See the full ranking of 213 places →

More agriculture & rural data for South America

All data for South America →

Frequently asked questions

What is starchy roots — stock variation in South America?
Starchy roots — stock variation in South America was -374 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest starchy roots — stock variation recorded in South America?
The highest recorded value was 1,648 1000 t in 2016.
What is the lowest starchy roots — stock variation recorded in South America?
The lowest recorded value was -569 1000 t in 2022.
How does South America rank for starchy roots — stock variation?
South America ranks 38th out of 39 groups with data for 2023.
Is starchy roots — stock variation rising or falling in South America?
Over the last ten years it is down 23.0%. 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 Starchy Roots — Stock Variation. Statizoid updates them automatically from the source API.

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Starchy Roots — Stock Variation in South America. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 19 August 2026, from https://agriculture.statizoid.com/stat/starchy-roots-stock-variation/south-america/

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About this data

Indicator
Starchy Roots — Stock Variation
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.