Miscellaneous — Stock Variation in Western Africa

Western Africa: Miscellaneous — Stock Variation was 69 1000 t in 2023. ◆ Volatile

Latest (2023)
69 1000 t
Change on year
up 50.0%
Rank
8th
of 31 groups
All-time high
133 1000 t
in 2017
All-time low
-43 1000 t
in 2010
Years of data
14
2010–2023

Miscellaneous — Stock Variation in Western Africa, 2010–2023

-500501001502010201620232010: -43 1000 t2011: -40 1000 t2012: -12 1000 t2013: 32 1000 t2014: 72 1000 t2015: 93 1000 t2016: 76 1000 t2017: 133 1000 t2018: 55 1000 t2019: 69 1000 t2020: 26 1000 t2021: 64 1000 t2022: 46 1000 t2023: 69 1000 t

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

Analysis

Western Africa recorded 69 1000 t for miscellaneous — stock variation in 2023.

The figure is up 50.0% on the previous year and up 115.6% over ten years.

Over the whole period, miscellaneous — stock variation in Western Africa peaked at 133 1000 t in 2017 and was at its lowest, -43 1000 t, in 2010.

Western Africa ranks 8th of 31 groups on this measure, in the top quarter.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 43.5 1000 t -43 1000 t 133 1000 t 10
2020s 51.25 1000 t 26 1000 t 69 1000 t 4

Countries ranked near Western Africa

  1. 5 Finland 15 1000 t compare
  2. 6 Jamaica 11 1000 t compare
  3. 6 Sweden 11 1000 t compare
  4. 8 Philippines 10 1000 t compare
  5. 9 Libya 9 1000 t compare
  6. 11 Democratic Republic of the Congo 7 1000 t compare

See the full ranking of 212 places →

More agriculture & rural data for Western Africa

All data for Western Africa →

Frequently asked questions

What is miscellaneous — stock variation in Western Africa?
Miscellaneous — stock variation in Western Africa was 69 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest miscellaneous — stock variation recorded in Western Africa?
The highest recorded value was 133 1000 t in 2017.
What is the lowest miscellaneous — stock variation recorded in Western Africa?
The lowest recorded value was -43 1000 t in 2010.
How does Western Africa rank for miscellaneous — stock variation?
Western Africa ranks 8th out of 31 groups with data for 2023.
Is miscellaneous — stock variation rising or falling in Western Africa?
Over the last ten years it is up 115.6%. The long-run trend across the full record is volatile.
Where does this Western Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Miscellaneous — Stock Variation. Statizoid updates them automatically from the source API.

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Miscellaneous — Stock Variation in Western Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/miscellaneous-stock-variation/western-africa/

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About this data

Indicator
Miscellaneous — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,828 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.