Cotton lint — Stock Variation in Middle Africa
Middle Africa: Cotton lint — Stock Variation was 8,200 t in 2013. ▬ Flat
Cotton lint — Stock Variation in Middle Africa, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
Middle Africa recorded 8,200 t for cotton lint — stock variation in 2013.
The figure is up 264.0% on the previous year and down 76.6% over ten years.
Over the whole period, cotton lint — stock variation in Middle Africa peaked at 38,500 t in 1989 and was at its lowest, -44,000 t, in 1988.
Middle Africa ranks 7th of 22 regions on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -4,678 t | -22,500 t | 6,500 t | 9 |
| 1970s | 560 t | -25,500 t | 18,500 t | 10 |
| 1980s | -3,930 t | -44,000 t | 38,500 t | 10 |
| 1990s | -4,420 t | -36,000 t | 36,000 t | 10 |
| 2000s | 11,900 t | -13,500 t | 35,500 t | 10 |
| 2010s | 250 t | -5,000 t | 8,200 t | 4 |
Countries ranked near Middle Africa
- 4 Benin 49,800 t compare
- 5 C�te d'Ivoire 18,000 t compare
- 6 Kyrgyzstan 12,000 t compare
- 7 Afghanistan 10,000 t compare
- 8 Cameroon 8,200 t compare
- 9 Israel 8,000 t compare
- 10 Senegal 5,020 t compare
More agriculture & rural data for Middle Africa
- Tomatoes — Area harvested 113,974 ha (2024)
- Tomatoes — Yield 19,128 kg/ha (2024)
- Tomatoes — Production 2.18 million t (2024)
- Unmanufactured tobacco — Area harvested 16,416 ha (2024)
- Unmanufactured tobacco — Production 13,891 t (2024)
- Bananas — Area harvested 511,443 ha (2024)
- Meat of pig with the bone, fresh or chilled — Producing 4.75 million An (2024)
- Meat of pig with the bone, fresh or chilled — Yield/Carcass Weight 57 kg/An (2024)
- Meat of pig with the bone, fresh or chilled — Production 270,208 t (2024)
- Swine / pigs — Stocks 8.08 million An (2024)
Frequently asked questions
- What is cotton lint — stock variation in Middle Africa?
- Cotton lint — stock variation in Middle Africa was 8,200 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest cotton lint — stock variation recorded in Middle Africa?
- The highest recorded value was 38,500 t in 1989.
- What is the lowest cotton lint — stock variation recorded in Middle Africa?
- The lowest recorded value was -44,000 t in 1988.
- How does Middle Africa rank for cotton lint — stock variation?
- Middle Africa ranks 7th out of 22 regions with data for 2013.
- Is cotton lint — stock variation rising or falling in Middle Africa?
- Over the last ten years it is down 76.6%. The long-run trend across the full record is flat.
- Where does this Middle Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cotton lint — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 53 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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 caput 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.