Soft-Fibres, Other — Stock Variation in World
World: Soft-Fibres, Other — Stock Variation was 46,375 t in 2013. ◆ Volatile
Soft-Fibres, Other — Stock Variation in World, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
World recorded 46,375 t for soft-fibres, other — stock variation in 2013.
Compared with earlier readings it is up 127.6% on the previous year and up 363.0% over ten years.
Over the whole period, soft-fibres, other — stock variation in World peaked at 67,660 t in 2010 and was at its lowest, -43,825 t, in 1995.
World ranks 1st of 27 groups on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -745.22 t | -5,000 t | 4,420 t | 9 |
| 1970s | -417 t | -9,439 t | 4,500 t | 10 |
| 1980s | -687.9 t | -9,020 t | 4,892 t | 10 |
| 1990s | -15,381 t | -43,825 t | 4,891 t | 10 |
| 2000s | -1,649 t | -34,288 t | 32,043 t | 10 |
| 2010s | 45,097 t | 20,379 t | 67,660 t | 4 |
Countries ranked near World
- 1 France 35,000 t compare
- 2 Belgium 9,000 t compare
- 3 United Kingdom of Great Britain and Northern Ireland 2,100 t compare
- 4 Brazil 100 t compare
- 4 Netherlands (Kingdom of the) 100 t compare
More agriculture & rural data for World
- Agricultural raw materials exports 1.2% (2024)
- Agricultural raw materials imports 1.2% (2024)
- Rural population 42.2% (2025)
- Rural population growth 0.3% (2025)
- Rural population 3.46 billion (2025)
- Agriculture, forestry, and fishing, value added 4.0% (2025)
- Agriculture, forestry, and fishing, value added 4.75 trillion current US$ (2025)
- Bananas — Production 139.41 million t (2024)
- Bananas — Area harvested 5.88 million ha (2024)
- Unmanufactured tobacco — Production 6.05 million t (2024)
Frequently asked questions
- What is soft-fibres, other — stock variation in World?
- Soft-fibres, other — stock variation in World was 46,375 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest soft-fibres, other — stock variation recorded in World?
- The highest recorded value was 67,660 t in 2010.
- What is the lowest soft-fibres, other — stock variation recorded in World?
- The lowest recorded value was -43,825 t in 1995.
- How does World rank for soft-fibres, other — stock variation?
- World ranks 1st out of 27 groups with data for 2013.
- Is soft-fibres, other — stock variation rising or falling in World?
- Over the last ten years it is up 363.0%. The long-run trend across the full record is volatile.
- Where does this World data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Soft-Fibres, Other — 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.