Soft-Fibres, Other — Stock Variation in Brazil
Brazil: Soft-Fibres, Other — Stock Variation was 100 t in 2013. ▬ Flat
Soft-Fibres, Other — Stock Variation in Brazil, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
In 2013, soft-fibres, other — stock variation in Brazil stood at 100 t.
The figure is up 122.2% over five years.
Over the whole period, soft-fibres, other — stock variation in Brazil peaked at 800 t in 1996 and was at its lowest, -800 t, in 1993.
Brazil ranks 4th of 53 countries on this measure, in the top 10%.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0 t | 0 t | 0 t | 9 |
| 1970s | 0 t | 0 t | 0 t | 10 |
| 1980s | 0 t | 0 t | 0 t | 10 |
| 1990s | 0 t | -800 t | 800 t | 10 |
| 2000s | -40 t | -450 t | 50 t | 10 |
| 2010s | 100 t | 50 t | 150 t | 4 |
Countries ranked near Brazil
- 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 Netherlands (Kingdom of the) 100 t compare
- 6 Belgium-Luxembourg 50 t compare
- 7 Switzerland 30 t compare
More agriculture & rural data for Brazil
- Agriculture, forestry, and fishing, value added (current US$), annual 10.36 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0609 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 652.04 current US$ per person (2025)
- Rural population, annual growth rate -1.95 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.1182 units per person (2025)
- Agriculture share gdp 6.09 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 6.09 (2025)
- Agricultural raw materials exports 5.2% (2025)
- Agricultural raw materials imports 0.8% (2025)
Frequently asked questions
- What is soft-fibres, other — stock variation in Brazil?
- Soft-fibres, other — stock variation in Brazil was 100 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest soft-fibres, other — stock variation recorded in Brazil?
- The highest recorded value was 800 t in 1996.
- What is the lowest soft-fibres, other — stock variation recorded in Brazil?
- The lowest recorded value was -800 t in 1993.
- How does Brazil rank for soft-fibres, other — stock variation?
- Brazil ranks 4th out of 53 countries with data for 2013.
- Where does this Brazil 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.