Rubber — Stock Variation in Cameroon
Cameroon: Rubber — Stock Variation was 0 t in 2013. ▬ Flat
Rubber — Stock Variation in Cameroon, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
In 2013, rubber — stock variation in Cameroon stood at 0 t.
The figure is up 100.0% over ten years.
Over the whole period, rubber — stock variation in Cameroon peaked at 15,000 t in 1996 and was at its lowest, -22,000 t, in 1991.
Cameroon ranks 3rd of 42 countries on this measure, in the top 10%.
Rubber — Stock Variation in Cameroon, year by year
| Year | t | Change |
|---|---|---|
| 1961 | 0 t | — |
| 1962 | -1,000 t | — |
| 1963 | -8,000 t | +700.0% |
| 1964 | -3,000 t | -62.5% |
| 1965 | 3,000 t | -200.0% |
| 1966 | 0 t | -100.0% |
| 1967 | 0 t | — |
| 1968 | 0 t | — |
| 1969 | 1,000 t | — |
| 1970 | 1,000 t | +0.0% |
| 1971 | -500 t | -150.0% |
| 1972 | 0 t | -100.0% |
| 1973 | -500 t | — |
| 1974 | 3,500 t | -800.0% |
| 1975 | 4,000 t | +14.3% |
| 1976 | 2,500 t | -37.5% |
| 1977 | 2,500 t | +0.0% |
| 1978 | 0 t | -100.0% |
| 1979 | -2,000 t | — |
| 1980 | -3,500 t | +75.0% |
| 1981 | -3,000 t | -14.3% |
| 1982 | 0 t | -100.0% |
| 1983 | 0 t | — |
| 1984 | 6,000 t | — |
| 1985 | 5,000 t | -16.7% |
| 1986 | 2,000 t | -60.0% |
| 1987 | 0 t | -100.0% |
| 1988 | 0 t | — |
| 1989 | 0 t | — |
| 1990 | 0 t | — |
| 1991 | -22,000 t | — |
| 1992 | 6,000 t | -127.3% |
| 1993 | 2,000 t | -66.7% |
| 1994 | 0 t | -100.0% |
| 1995 | -5,000 t | — |
| 1996 | 15,000 t | -400.0% |
| 1997 | -15,000 t | -200.0% |
| 1998 | 10,000 t | -166.7% |
| 1999 | 0 t | -100.0% |
| 2000 | 0 t | — |
| 2001 | 0 t | — |
| 2002 | 0 t | — |
| 2003 | -8,000 t | — |
| 2004 | -2,000 t | -75.0% |
| 2005 | -3,000 t | +50.0% |
| 2006 | 0 t | -100.0% |
| 2007 | 13,000 t | — |
| 2008 | 0 t | -100.0% |
| 2009 | 0 t | — |
| 2010 | 0 t | — |
| 2011 | 0 t | — |
| 2012 | 0 t | — |
| 2013 | 0 t | — |
Biggest year-on-year movements
Years where Rubber — Stock Variation in Cameroon 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 |
|---|---|---|---|
| 1974 | +800.0% | -500 t | 3,500 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -888.89 t | -8,000 t | 3,000 t | 9 |
| 1970s | 1,050 t | -2,000 t | 4,000 t | 10 |
| 1980s | 650 t | -3,500 t | 6,000 t | 10 |
| 1990s | -900 t | -22,000 t | 15,000 t | 10 |
| 2000s | 0 t | -8,000 t | 13,000 t | 10 |
| 2010s | 0 t | 0 t | 0 t | 4 |
Countries ranked near Cameroon
- 1 Cambodia 35,000 t compare
- 2 Estonia 50 t compare
- 2 Viet Nam 50,000 t compare
- 3 Algeria 0 t compare
- 3 Australia 0 t compare
- 3 Belarus 0 t compare
- 3 Belgium 0 t compare
- 3 Bosnia and Herzegovina 0 t compare
- 3 Botswana 0 t compare
- 3 Bulgaria 0 t compare
- 3 Central African Republic 0 t compare
- 3 China, Hong Kong SAR 0 t compare
- 3 China, Macao SAR 0 t compare
- 3 Congo 0 t compare
- 3 Costa Rica 0 t compare
- 3 C�te d'Ivoire 0 t compare
- 3 Eswatini 0 t compare
- 3 Ethiopia 0 t compare
- 3 Gabon 0 t compare
- 3 Guinea 0 t compare
- 3 Honduras 0 t compare
- 3 Indonesia 0 t compare
- 3 Ireland 0 t compare
- 3 Kazakhstan 0 t compare
- 3 Kuwait 0 t compare
- 3 Luxembourg 0 t compare
- 3 Mali 0 t compare
- 3 Malta 0 t compare
- 3 Myanmar 0 t compare
- 3 Netherlands (Kingdom of the) 0 t compare
- 3 Nicaragua 0 t compare
- 3 Oman 0 t compare
- 3 Peru 0 t compare
- 3 Saudi Arabia 0 t compare
- 3 Serbia 0 t compare
- 3 Sri Lanka 0 t compare
- 3 Sweden 0 t compare
- 3 Thailand 0 t compare
- 3 United Republic of Tanzania 50 t compare
- 3 Zambia 0 t compare
- 3 Zimbabwe 0 t compare
- 3 Australia and New Zealand 0 t compare
- 4 Timor-Leste 0 t compare
More agriculture & rural data for Cameroon
- Agriculture, forestry, and fishing, value added (current US$), annual 0.9031 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1685 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 332.28 current US$ per person (2025)
- Rural population, annual growth rate 1.98 % change on previous year (2025)
- Rural population, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Rural population, per capita 0.4433 units per person (2025)
- Share of GDP from agriculture 16.8% (2025)
- Agriculture as a share of GDP vs. GDP per capita 16.8% (2025)
- Agricultural raw materials exports 14.9% (2023)
- Agricultural raw materials imports 1.0% (2023)
Frequently asked questions
- What is rubber — stock variation in Cameroon?
- Rubber — stock variation in Cameroon was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest rubber — stock variation recorded in Cameroon?
- The highest recorded value was 15,000 t in 1996.
- What is the lowest rubber — stock variation recorded in Cameroon?
- The lowest recorded value was -22,000 t in 1991.
- How does Cameroon rank for rubber — stock variation?
- Cameroon ranks 3rd out of 42 countries with data for 2013.
- Is rubber — stock variation rising or falling in Cameroon?
- Over the last ten years it is up 100.0%. 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 Rubber — 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.