Stimulants β€” Residuals in Least Developed Countries (LDCs)

Least Developed Countries (LDCs): Stimulants β€” Residuals was -113 1000 t in 2023. β—† Volatile

Latest (2023)
-113 1000 t
Change on year
down 253.1%
Rank
22nd
of 31 groups
All-time high
81 1000 t
in 2016
All-time low
-148 1000 t
in 2021
Years of data
14
2010–2023

Stimulants β€” Residuals in Least Developed Countries (LDCs), 2010–2023

-150-100-500501002010201620232010: 73 1000 t2011: 46 1000 t2012: 61 1000 t2013: 51 1000 t2014: 70 1000 t2015: 5 1000 t2016: 81 1000 t2017: 73 1000 t2018: -21 1000 t2019: 27 1000 t2020: -96 1000 t2021: -148 1000 t2022: -32 1000 t2023: -113 1000 t

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

Analysis

Least Developed Countries (LDCs) recorded -113 1000 t for stimulants β€” residuals in 2023.

That represents a change of down 253.1% on the previous year and down 321.6% over ten years.

Over the whole period, stimulants β€” residuals in Least Developed Countries (LDCs) peaked at 81 1000 t in 2016 and was at its lowest, -148 1000 t, in 2021.

Least Developed Countries (LDCs) ranks 22nd of 31 groups on this measure, in the middle of the range.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 46.6 1000 t -21 1000 t 81 1000 t 10
2020s -97.25 1000 t -148 1000 t -32 1000 t 4

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

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

Frequently asked questions

What is stimulants β€” residuals in Least Developed Countries (LDCs)?
Stimulants β€” residuals in Least Developed Countries (LDCs) was -113 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest stimulants β€” residuals recorded in Least Developed Countries (LDCs)?
The highest recorded value was 81 1000 t in 2016.
What is the lowest stimulants β€” residuals recorded in Least Developed Countries (LDCs)?
The lowest recorded value was -148 1000 t in 2021.
How does Least Developed Countries (LDCs) rank for stimulants β€” residuals?
Least Developed Countries (LDCs) ranks 22nd out of 31 groups with data for 2023.
Is stimulants β€” residuals rising or falling in Least Developed Countries (LDCs)?
Over the last ten years it is down 321.6%. 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 Stimulants β€” Residuals. Statizoid updates them automatically from the source API.

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Stimulants β€” Residuals in Least Developed Countries (LDCs). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/stimulants-residuals/least-developed-countries-ldcs/

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About this data

Indicator
Stimulants β€” Residuals
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.