Peas — Stock Variation in Africa
Africa: Peas — Stock Variation was -7 1000 t in 2023. ◆ Volatile
Peas — Stock Variation in Africa, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Africa recorded -7 1000 t for peas — stock variation in 2023.
That represents a change of down 177.8% on the previous year and down 115.9% over ten years.
Over the whole period, peas — stock variation in Africa peaked at 50 1000 t in 2020 and was at its lowest, -41 1000 t, in 2010.
Africa ranks 16th 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
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 6.4 1000 t | -41 1000 t | 44 1000 t | 10 |
| 2020s | 20.5 1000 t | -7 1000 t | 50 1000 t | 4 |
Countries ranked near Africa
- 16 New Zealand 2 1000 t compare
- 16 Democratic Republic of the Congo 2 1000 t compare
- 18 Tajikistan 1 1000 t compare
- 18 Libya 1 1000 t compare
- 18 Mauritius 1 1000 t compare
- 18 Türkiye 1 1000 t compare
- 18 Greece 1 1000 t compare
- 18 Hungary 1 1000 t compare
- 18 Switzerland 1 1000 t compare
- 18 Mozambique 1 1000 t compare
- 18 Rwanda 1 1000 t compare
- 18 Cameroon 1 1000 t compare
- 18 Pakistan 1 1000 t compare
More agriculture & rural data for Africa
- Tomatoes — Production 26.38 million t (2024)
- Bananas — Production 31.26 million t (2024)
- Meat of pig with the bone, fresh or chilled — Producing 47.50 million An (2024)
- Meat of pig with the bone, fresh or chilled — Production 2.37 million t (2024)
- Meat of pig with the bone, fresh or chilled — Yield/Carcass Weight 50 kg/An (2024)
- Bananas — Area harvested 2.29 million ha (2024)
- Unmanufactured tobacco — Production 706,446 t (2024)
- Tomatoes — Area harvested 1.67 million ha (2024)
- Tomatoes — Yield 15,779 kg/ha (2024)
- Unmanufactured tobacco — Area harvested 613,627 ha (2024)
Frequently asked questions
- What is peas — stock variation in Africa?
- Peas — stock variation in Africa was -7 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest peas — stock variation recorded in Africa?
- The highest recorded value was 50 1000 t in 2020.
- What is the lowest peas — stock variation recorded in Africa?
- The lowest recorded value was -41 1000 t in 2010.
- How does Africa rank for peas — stock variation?
- Africa ranks 16th out of 31 groups with data for 2023.
- Is peas — stock variation rising or falling in Africa?
- Over the last ten years it is down 115.9%. The long-run trend across the full record is volatile.
- Where does this Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Peas — 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.