Wool (Clean Eq.) — Stock Variation in World
World: Wool (Clean Eq.) — Stock Variation was 200 t in 2013. ◆ Volatile
Wool (Clean Eq.) — Stock Variation in World, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
In 2013, wool (clean eq.) — stock variation in World stood at 200 t.
Compared with earlier readings it is down 95.5% on the previous year and down 97.2% over ten years.
Over the whole period, wool (clean eq.) — stock variation in World peaked at 7,261 t in 2003 and was at its lowest, -13,297 t, in 1997.
The series is highly variable year to year, so single readings are best treated with caution.
Wool (Clean Eq.) — Stock Variation in World, year by year
| Year | t | Change |
|---|---|---|
| 1961 | -335 t | — |
| 1962 | -810 t | +141.8% |
| 1963 | -905 t | +11.7% |
| 1964 | -805 t | -11.0% |
| 1965 | -495 t | -38.5% |
| 1966 | -100 t | -79.8% |
| 1967 | -185 t | +85.0% |
| 1968 | 435 t | -335.1% |
| 1969 | 100 t | -77.0% |
| 1970 | 200 t | +100.0% |
| 1971 | -1,800 t | -1000.0% |
| 1972 | 700 t | -138.9% |
| 1973 | 780 t | +11.4% |
| 1974 | 1,640 t | +110.3% |
| 1975 | 380 t | -76.8% |
| 1976 | -1,445 t | -480.3% |
| 1977 | -1,830 t | +26.6% |
| 1978 | -385 t | -79.0% |
| 1979 | 1,140 t | -396.1% |
| 1980 | 1,100 t | -3.5% |
| 1981 | 500 t | -54.5% |
| 1982 | 740 t | +48.0% |
| 1983 | 1,130 t | +52.7% |
| 1984 | -215 t | -119.0% |
| 1985 | 65 t | -130.2% |
| 1986 | -20 t | -130.8% |
| 1987 | 120 t | -700.0% |
| 1988 | -60 t | -150.0% |
| 1989 | 50 t | -183.3% |
| 1990 | -2,910 t | -5920.0% |
| 1991 | 2,062 t | -170.9% |
| 1992 | -2,089 t | -201.3% |
| 1993 | -435 t | -79.2% |
| 1994 | -3,701 t | +750.8% |
| 1995 | -1,961 t | -47.0% |
| 1996 | -5,822 t | +196.9% |
| 1997 | -13,297 t | +128.4% |
| 1998 | -4,547 t | -65.8% |
| 1999 | -1,594 t | -64.9% |
| 2000 | 651 t | -140.8% |
| 2001 | -1,200 t | -284.3% |
| 2002 | 1,291 t | -207.6% |
| 2003 | 7,261 t | +462.4% |
| 2004 | 3,501 t | -51.8% |
| 2005 | 4,390 t | +25.4% |
| 2006 | 6,350 t | +44.6% |
| 2007 | 2,450 t | -61.4% |
| 2008 | 510 t | -79.2% |
| 2009 | 3,020 t | +492.2% |
| 2010 | -1,220 t | -140.4% |
| 2011 | 2,880 t | -336.1% |
| 2012 | 4,400 t | +52.8% |
| 2013 | 200 t | -95.5% |
Biggest year-on-year movements
Years where Wool (Clean Eq.) — Stock Variation in World changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1990 | -5920.0% | 50 t | -2,910 t |
| 1971 | -1000.0% | 200 t | -1,800 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -344.44 t | -905 t | 435 t | 9 |
| 1970s | -62 t | -1,830 t | 1,640 t | 10 |
| 1980s | 341 t | -215 t | 1,130 t | 10 |
| 1990s | -3,429 t | -13,297 t | 2,062 t | 10 |
| 2000s | 2,822 t | -1,200 t | 7,261 t | 10 |
| 2010s | 1,565 t | -1,220 t | 4,400 t | 4 |
Countries ranked near World
- 1 North Macedonia 160 t compare
- 2 Cyprus 40 t compare
- 3 Bosnia and Herzegovina 0 t compare
- 3 China, Hong Kong SAR 0 t compare
- 3 China, Macao SAR 0 t compare
- 3 Croatia 0 t compare
- 3 El Salvador 0 t compare
- 3 Honduras 0 t compare
- 3 Hungary 0 t compare
- 3 Iceland 0 t compare
- 3 Indonesia 0 t compare
- 3 Lesotho 0 t compare
- 3 Malta 0 t compare
- 3 Mauritius 0 t compare
- 3 Netherlands (Kingdom of the) 0 t compare
- 3 Serbia 0 t compare
- 3 Slovakia 0 t compare
- 3 Slovenia 0 t compare
- 3 South Africa 0 t compare
- 3 Sweden 0 t compare
- 3 Switzerland 0 t compare
More agriculture & rural data for World
- Agriculture, forestry, and fishing, value added (current US$), annual 4.41 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0401 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 577.68 current US$ per person (2025)
- Rural population, annual growth rate 0.2984 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.4217 units per person (2025)
- 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)
Frequently asked questions
- What is wool (clean eq.) — stock variation in World?
- Wool (clean eq.) — stock variation in World was 200 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest wool (clean eq.) — stock variation recorded in World?
- The highest recorded value was 7,261 t in 2003.
- What is the lowest wool (clean eq.) — stock variation recorded in World?
- The lowest recorded value was -13,297 t in 1997.
- How does World rank for wool (clean eq.) — stock variation?
- World ranks 1st out of 18 groups with data for 2013.
- Is wool (clean eq.) — stock variation rising or falling in World?
- Over the last ten years it is down 97.2%. 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 Wool (Clean Eq.) — 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.