Jute — Stock Variation in Africa
Africa: Jute — Stock Variation was 150 t in 2013. ◆ Volatile
Jute — Stock Variation in Africa, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
The most recent figure for jute — stock variation in Africa is 150 t, measured in 2013.
The figure is up 87.5% over ten years.
Over the whole period, jute — stock variation in Africa peaked at 605 t in 2005 and was at its lowest, -1,500 t, in 1995.
Africa ranks 1st of 25 groups on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Jute — Stock Variation in Africa, year by year
| Year | t | Change |
|---|---|---|
| 1961 | 0 t | — |
| 1962 | 0 t | — |
| 1963 | 0 t | — |
| 1964 | 0 t | — |
| 1965 | 0 t | — |
| 1966 | 0 t | — |
| 1967 | 0 t | — |
| 1968 | 0 t | — |
| 1969 | 0 t | — |
| 1970 | 0 t | — |
| 1971 | 0 t | — |
| 1972 | 0 t | — |
| 1973 | 0 t | — |
| 1974 | 0 t | — |
| 1975 | 0 t | — |
| 1976 | 0 t | — |
| 1977 | 0 t | — |
| 1978 | 0 t | — |
| 1979 | 0 t | — |
| 1980 | 0 t | — |
| 1981 | 0 t | — |
| 1982 | 0 t | — |
| 1983 | 0 t | — |
| 1984 | 0 t | — |
| 1985 | 0 t | — |
| 1986 | 0 t | — |
| 1987 | 0 t | — |
| 1988 | 0 t | — |
| 1989 | 0 t | — |
| 1990 | -200 t | — |
| 1991 | 200 t | -200.0% |
| 1992 | -50 t | -125.0% |
| 1993 | 0 t | -100.0% |
| 1994 | -60 t | — |
| 1995 | -1,500 t | +2400.0% |
| 1996 | 10 t | -100.7% |
| 1997 | 190 t | +1800.0% |
| 1998 | -150 t | -178.9% |
| 1999 | 50 t | -133.3% |
| 2000 | 110 t | +120.0% |
| 2001 | 250 t | +127.3% |
| 2002 | 170 t | -32.0% |
| 2003 | 80 t | -52.9% |
| 2004 | -210 t | -362.5% |
| 2005 | 605 t | -388.1% |
| 2006 | 55 t | -90.9% |
| 2007 | 435 t | +690.9% |
| 2008 | -25 t | -105.7% |
| 2009 | -20 t | -20.0% |
| 2010 | 60 t | -400.0% |
| 2011 | 0 t | -100.0% |
| 2012 | 0 t | — |
| 2013 | 150 t | — |
Biggest year-on-year movements
Years where Jute — Stock Variation in Africa 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 |
|---|---|---|---|
| 1995 | -2400.0% | -60 t | -1,500 t |
| 1997 | +1800.0% | 10 t | 190 t |
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 | -151 t | -1,500 t | 200 t | 10 |
| 2000s | 145 t | -210 t | 605 t | 10 |
| 2010s | 52.5 t | 0 t | 150 t | 4 |
Countries ranked near Africa
- 1 Ghana 150 t compare
- 1 Iran (Islamic Republic of) 0 t compare
- 1 United Republic of Tanzania 0 t compare
- 2 Netherlands (Kingdom of the) 20 t compare
- 3 Belarus 0 t compare
- 3 Belgium-Luxembourg 0 t compare
- 3 Bulgaria 0 t compare
- 3 Cambodia 0 t compare
- 3 Canada 0 t compare
- 3 China, Taiwan Province of 0 t compare
- 3 Denmark 0 t compare
- 3 Eswatini 0 t compare
- 3 Finland 0 t compare
- 3 France 0 t compare
- 3 Gambia 0 t compare
- 3 Honduras 0 t compare
- 3 Indonesia 0 t compare
- 3 Ireland 0 t compare
- 3 Italy 0 t compare
- 3 Jamaica 0 t compare
- 3 Kazakhstan 0 t compare
- 3 Kenya 0 t compare
- 3 Kyrgyzstan 0 t compare
- 3 Lebanon 0 t compare
- 3 Lithuania 0 t compare
- 3 Malawi 0 t compare
- 3 Mexico 0 t compare
- 3 Morocco 0 t compare
- 3 Nepal 0 t compare
- 3 New Zealand 0 t compare
- 3 Nicaragua 0 t compare
- 3 Norway 0 t compare
- 3 Panama 0 t compare
- 3 Philippines 0 t compare
- 3 Portugal 0 t compare
- 3 Russian Federation 0 t compare
- 3 South Africa 0 t compare
- 3 Spain 0 t compare
- 3 Sweden 0 t compare
- 3 T�rkiye 0 t compare
- 3 Uganda 0 t compare
- 3 Ukraine 0 t compare
- 3 United Arab Emirates 0 t compare
- 3 Zambia 0 t compare
- 3 Australia and New Zealand 0 t compare
More agriculture & rural data for Africa
- Milk, Total — Gross Production Value (constant 2014-2016 thousand) 2.96 % change on previous year (2024)
- Cereals, primary — Gross Production Value (constant 2014-2016) 1.38 % change on previous year (2024)
- Crops — Gross Production Value (constant 2014-2016 thousand I$) 1.64 % change on previous year (2024)
- Food — Gross Production Value (constant 2014-2016 thousand I$) 1.86 % change on previous year (2024)
- Fruit Primary — Gross Production Value (constant 2014-2016 thousand) 1.72 % change on previous year (2024)
- Livestock — Gross Production Value (constant 2014-2016 thousand I$) 2.94 % change on previous year (2024)
- Meat indigenous, total — Gross Production Value (constant 2014-2016) 3.15 % change on previous year (2024)
- Sugar Crops Primary — Gross Production Value (constant 2014-2016) 1.44 % change on previous year (2024)
- Vegetables Primary — Gross Production Value (constant 2014-2016) 2.02 % change on previous year (2024)
- Vegetables and Fruit Primary — Gross Production Value (constant) 1.84 % change on previous year (2024)
Frequently asked questions
- What is jute — stock variation in Africa?
- Jute — stock variation in Africa was 150 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest jute — stock variation recorded in Africa?
- The highest recorded value was 605 t in 2005.
- What is the lowest jute — stock variation recorded in Africa?
- The lowest recorded value was -1,500 t in 1995.
- How does Africa rank for jute — stock variation?
- Africa ranks 1st out of 25 groups with data for 2013.
- Is jute — stock variation rising or falling in Africa?
- Over the last ten years it is up 87.5%. The long-run trend across the full record is volatile.
- Where does this Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Jute — 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.