Cotton lint — Stock Variation in Cameroon
Cameroon: Cotton lint — Stock Variation was 8,200 t in 2013. ▬ Flat
Cotton lint — Stock Variation in Cameroon, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
The most recent figure for cotton lint — stock variation in Cameroon is 8,200 t, measured in 2013.
Compared with earlier readings it is up 264.0% on the previous year and down 50.3% over ten years.
Over the whole period, cotton lint — stock variation in Cameroon peaked at 50,000 t in 1989 and was at its lowest, -30,000 t, in 1988.
Cameroon ranks 8th of 70 countries on this measure, in the top quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -1,667 t | -10,000 t | 3,000 t | 9 |
| 1970s | 0 t | -9,000 t | 14,000 t | 10 |
| 1980s | -1,400 t | -30,000 t | 50,000 t | 10 |
| 1990s | -4,500 t | -15,000 t | 0 t | 10 |
| 2000s | 7,400 t | -16,500 t | 39,000 t | 10 |
| 2010s | 0 t | -5,000 t | 8,200 t | 4 |
Countries ranked near Cameroon
- 5 C�te d'Ivoire 18,000 t compare
- 6 Kyrgyzstan 12,000 t compare
- 7 Afghanistan 10,000 t compare
- 9 Israel 8,000 t compare
- 10 Senegal 5,020 t compare
- 11 Zambia 5,000 t compare
More agriculture & rural data for Cameroon
- Agriculture share gdp 16.85 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 16.85 (2025)
- Agricultural raw materials exports 14.9% (2023)
- Agricultural raw materials imports 1.0% (2023)
- Rural population 44.3% (2025)
- Rural population growth 2.0% (2025)
- Rural population 13.25 million (2025)
- Agriculture, forestry, and fishing, value added 16.8% (2025)
- Agriculture, forestry, and fishing, value added 9.93 billion current US$ (2025)
- Bananas — Production 805,353 t (2024)
Frequently asked questions
- What is cotton lint — stock variation in Cameroon?
- Cotton lint — stock variation in Cameroon 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 Cameroon?
- The highest recorded value was 50,000 t in 1989.
- What is the lowest cotton lint — stock variation recorded in Cameroon?
- The lowest recorded value was -30,000 t in 1988.
- How does Cameroon rank for cotton lint — stock variation?
- Cameroon ranks 8th out of 70 countries with data for 2013.
- Is cotton lint — stock variation rising or falling in Cameroon?
- Over the last ten years it is down 50.3%. The long-run trend across the full record is flat.
- Where does this Cameroon 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.