Cassava and products β€” Stock Variation in Least Developed Countries (LDCs)

Least Developed Countries (LDCs): Cassava and products β€” Stock Variation was 2,923 1000 t in 2023. β—† Volatile

Latest (2023)
2,923 1000 t
Change on year
up 49.5%
Rank
1st
of 29 regions
All-time high
2,923 1000 t
in 2023
All-time low
-812 1000 t
in 2010
Years of data
14
2010–2023

Cassava and products β€” Stock Variation in Least Developed Countries (LDCs), 2010–2023

-1.0k01.0k2.0k3.0k2010201620232010: -812 1000 t2011: -240 1000 t2012: 497 1000 t2013: 1.2k 1000 t2014: 241 1000 t2015: 751 1000 t2016: 397 1000 t2017: 656 1000 t2018: 2.5k 1000 t2019: 349 1000 t2020: 2.3k 1000 t2021: -478 1000 t2022: 2.0k 1000 t2023: 2.9k 1000 t

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

Analysis

Least Developed Countries (LDCs) recorded 2,923 1000 t for cassava and products β€” stock variation in 2023. That is the highest value across all 14 years on record.

The figure is up 49.5% on the previous year and up 149.4% over ten years.

Over the whole period, cassava and products β€” stock variation in Least Developed Countries (LDCs) peaked at 2,923 1000 t in 2023 and was at its lowest, -812 1000 t, in 2010.

That places Least Developed Countries (LDCs) 1st out of 29 regions with data for 2023, putting it in the top 10%.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 551 1000 t -812 1000 t 2,499 1000 t 10
2020s 1,670 1000 t -478 1000 t 2,923 1000 t 4

Countries ranked near Least Developed Countries (LDCs)

  1. 1 Sierra Leone 200 1000 t compare
  2. 2 Cameroon 5 1000 t compare
  3. 3 Honduras 1 1000 t compare
  4. 4 Tuvalu 0 1000 t
  5. 4 Marshall Islands 0 1000 t
  6. 4 Bahrain 0 1000 t
  7. 4 Qatar 0 1000 t compare
  8. 4 Liberia 0 1000 t compare
  9. 4 Suriname 0 1000 t
  10. 4 China, Hong Kong SAR 0 1000 t
  11. 4 Congo 0 1000 t
  12. 4 Costa Rica 0 1000 t compare
  13. 4 Paraguay 0 1000 t
  14. 4 Guinea 0 1000 t
  15. 4 Philippines 0 1000 t compare
  16. 4 Angola 0 1000 t compare
  17. 4 Eswatini 0 1000 t
  18. 4 Denmark 0 1000 t
  19. 4 Belgium 0 1000 t
  20. 4 Ecuador 0 1000 t compare
  21. 4 Indonesia 0 1000 t compare
  22. 4 China, Taiwan Province of 0 1000 t
  23. 4 Burkina Faso 0 1000 t
  24. 4 Thailand 0 1000 t compare
  25. 4 Bulgaria 0 1000 t
  26. 4 Netherlands (Kingdom of the) 0 1000 t compare
  27. 4 Peru 0 1000 t
  28. 4 Colombia 0 1000 t compare
  29. 4 Niger 0 1000 t
  30. 4 India 0 1000 t compare
  31. 4 Guatemala 0 1000 t
  32. 4 Pakistan 0 1000 t
  33. 4 Sri Lanka 0 1000 t compare
  34. 4 Senegal 0 1000 t
  35. 4 Nigeria 0 1000 t
  36. 4 Rwanda 0 1000 t compare
  37. 4 Ethiopia 0 1000 t
  38. 4 Uganda 0 1000 t
  39. 4 Zambia 0 1000 t
  40. 4 Zimbabwe 0 1000 t
  41. 4 Egypt 0 1000 t
  42. 4 China, mainland 0 1000 t
  43. 4 Nepal 0 1000 t
  44. 4 Kenya 0 1000 t compare
  45. 4 South Africa 0 1000 t
  46. 4 China 0 1000 t

See the full ranking of 88 places β†’

More agriculture & rural data for Least Developed Countries (LDCs)

All data for Least Developed Countries (LDCs) β†’

Frequently asked questions

What is cassava and products β€” stock variation in Least Developed Countries (LDCs)?
Cassava and products β€” stock variation in Least Developed Countries (LDCs) was 2,923 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest cassava and products β€” stock variation recorded in Least Developed Countries (LDCs)?
The highest recorded value was 2,923 1000 t in 2023.
What is the lowest cassava and products β€” stock variation recorded in Least Developed Countries (LDCs)?
The lowest recorded value was -812 1000 t in 2010.
How does Least Developed Countries (LDCs) rank for cassava and products β€” stock variation?
Least Developed Countries (LDCs) ranks 1st out of 29 regions with data for 2023.
Is cassava and products β€” stock variation rising or falling in Least Developed Countries (LDCs)?
Over the last ten years it is up 149.4%. The long-run trend across the full record is volatile.
Where does this Least Developed Countries (LDCs) data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Cassava and products β€” Stock Variation. Statizoid updates them automatically from the source API.

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Cassava and products β€” Stock Variation in Least Developed Countries (LDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 20 August 2026, from https://agriculture.statizoid.com/stat/cassava-and-products-stock-variation/least-developed-countries-ldcs/

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About this data

Indicator
Cassava and products β€” Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
88 places, 1,081 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.