Tea (including mate) — Stock Variation in Western Africa
Western Africa: Tea (including mate) — Stock Variation was -2 1000 t in 2023. ◆ Volatile
Tea (including mate) — Stock Variation in Western Africa, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for tea (including mate) — stock variation in Western Africa is -2 1000 t, measured in 2023.
Compared with earlier readings it is up 80.0% on the previous year and down 150.0% over ten years.
Over the whole period, tea (including mate) — stock variation in Western Africa peaked at 12 1000 t in 2017 and was at its lowest, -10 1000 t, in 2022.
That places Western Africa 21st out of 30 groups with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Tea (including mate) — Stock Variation in Western Africa, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -5 1000 t | — |
| 2011 | -2 1000 t | -60.0% |
| 2012 | 4 1000 t | -300.0% |
| 2013 | 4 1000 t | +0.0% |
| 2014 | 4 1000 t | +0.0% |
| 2015 | 10 1000 t | +150.0% |
| 2016 | 9 1000 t | -10.0% |
| 2017 | 12 1000 t | +33.3% |
| 2018 | 9 1000 t | -25.0% |
| 2019 | 12 1000 t | +33.3% |
| 2020 | 6 1000 t | -50.0% |
| 2021 | 1 1000 t | -83.3% |
| 2022 | -10 1000 t | -1100.0% |
| 2023 | -2 1000 t | -80.0% |
Biggest year-on-year movements
Years where Tea (including mate) — Stock Variation in Western Africa changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2022 | -1100.0% | 1 1000 t | -10 1000 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 5.7 1000 t | -5 1000 t | 12 1000 t | 10 |
| 2020s | -1.25 1000 t | -10 1000 t | 6 1000 t | 4 |
More agriculture & rural data for Western Africa
- Fruit Primary — Gross Production Value (constant 2014-2016 thousand) 1.52 % change on previous year (2024)
- Cattle fat, unrendered — Production, annual growth rate -0.715 % change on previous year (2024)
- Cattle — Stocks, annual growth rate 1.71 % change on previous year (2024)
- Vegetables Primary — Gross Production Value (constant 2014-2016) -2.77 % change on previous year (2024)
- Vegetables and Fruit Primary — Gross Production Value (constant) -1.47 % change on previous year (2024)
- Roots and Tubers, Total — Gross Production Value (constant 2014-2016) 2.73 % change on previous year (2024)
- Livestock — Gross Production Value (constant 2014-2016 thousand US$) 2.75 % change on previous year (2024)
- Tomatoes — Gross Production Value (constant 2014-2016 thousand I$) 0.0113 % change on previous year (2024)
- Agriculture — Gross Production Value (constant 2014-2016 thousand) 1.97 % change on previous year (2024)
- Cereals, primary — Gross Production Value (constant 2014-2016) 4.86 % change on previous year (2024)
Frequently asked questions
- What is tea (including mate) — stock variation in Western Africa?
- Tea (including mate) — stock variation in Western Africa was -2 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest tea (including mate) — stock variation recorded in Western Africa?
- The highest recorded value was 12 1000 t in 2017.
- What is the lowest tea (including mate) — stock variation recorded in Western Africa?
- The lowest recorded value was -10 1000 t in 2022.
- How does Western Africa rank for tea (including mate) — stock variation?
- Western Africa ranks 21st out of 30 groups with data for 2023.
- Is tea (including mate) — stock variation rising or falling in Western Africa?
- Over the last ten years it is down 150.0%. 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 Tea (including mate) — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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.