Sisal — Stock Variation in Costa Rica
Costa Rica: Sisal — Stock Variation was 0 t in 2013. ▬ Flat
Sisal — Stock Variation in Costa Rica, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
Costa Rica recorded 0 t for sisal — stock variation in 2013.
That represents a change of up 100.0% over ten years.
Over the whole period, sisal — stock variation in Costa Rica peaked at 50 t in 1987 and was at its lowest, -50 t, in 1986.
That places Costa Rica 2nd out of 22 countries with data for 2013, putting it 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 | -50 t | 50 t | 10 |
| 1990s | 0 t | 0 t | 0 t | 10 |
| 2000s | 0 t | -20 t | 20 t | 10 |
| 2010s | 0 t | 0 t | 0 t | 4 |
Countries ranked near Costa Rica
- 1 Philippines 3,500 t compare
- 2 Angola 0 t compare
- 2 Belgium-Luxembourg 0 t compare
- 2 Central African Republic 0 t compare
- 2 C�te d'Ivoire 0 t compare
- 2 Croatia 0 t compare
- 2 Czechia 0 t compare
- 2 Egypt 0 t compare
- 2 France 0 t compare
- 2 Haiti 0 t compare
- 2 Iceland 0 t compare
- 2 Indonesia 0 t compare
- 2 Ireland 0 t compare
- 2 Kenya 0 t compare
- 2 Madagascar 0 t compare
- 2 Mozambique 0 t compare
- 2 Netherlands (Kingdom of the) 0 t compare
- 2 Sweden 0 t compare
- 2 Switzerland 0 t compare
- 2 Tunisia 0 t compare
- 2 United Kingdom of Great Britain and Northern Ireland 0 t compare
More agriculture & rural data for Costa Rica
- Agriculture, forestry, and fishing, value added (current US$), annual 4.56 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0337 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 672.15 current US$ per person (2025)
- Rural population, annual growth rate -1.57 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2027 units per person (2025)
- Agriculture share gdp 3.37 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 3.37 (2025)
- Agricultural raw materials exports 1.1% (2024)
- Agricultural raw materials imports 1.0% (2024)
Frequently asked questions
- What is sisal — stock variation in Costa Rica?
- Sisal — stock variation in Costa Rica was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest sisal — stock variation recorded in Costa Rica?
- The highest recorded value was 50 t in 1987.
- What is the lowest sisal — stock variation recorded in Costa Rica?
- The lowest recorded value was -50 t in 1986.
- How does Costa Rica rank for sisal — stock variation?
- Costa Rica ranks 2nd out of 22 countries with data for 2013.
- Is sisal — stock variation rising or falling in Costa Rica?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is flat.
- Where does this Costa Rica data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sisal — 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.