Rape and Mustardseed — Stock Variation in Northern America
Northern America: Rape and Mustardseed — Stock Variation was -2.98 million t in 2013. ◆ Volatile
Rape and Mustardseed — Stock Variation in Northern America, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
In 2013, rape and mustardseed — stock variation in Northern America stood at -2.98 million t. That is the lowest value across all 53 years on record.
That represents a change of down 456.9% on the previous year and down 370.6% over ten years.
Over the whole period, rape and mustardseed — stock variation in Northern America peaked at 1.90 million t in 2001 and was at its lowest, -2.98 million t, in 2013.
That places Northern America 27th out of 27 groups with data for 2013, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Rape and Mustardseed — Stock Variation in Northern America, year by year
| Year | t | Change |
|---|---|---|
| 1961 | -50,000 t | — |
| 1962 | 145,000 t | -390.0% |
| 1963 | 29,000 t | -80.0% |
| 1964 | -94,000 t | -424.1% |
| 1965 | -124,000 t | +31.9% |
| 1966 | -80,000 t | -35.5% |
| 1967 | 13,000 t | -116.3% |
| 1968 | 20,000 t | +53.8% |
| 1969 | -170,000 t | -950.0% |
| 1970 | -627,000 t | +268.8% |
| 1971 | -530,000 t | -15.5% |
| 1972 | 350,000 t | -166.0% |
| 1973 | 600,000 t | +71.4% |
| 1974 | -40,000 t | -106.7% |
| 1975 | -525,000 t | +1212.5% |
| 1976 | 804,000 t | -253.1% |
| 1977 | -30,000 t | -103.7% |
| 1978 | -1.25 million t | +4083.3% |
| 1979 | -140,000 t | -88.8% |
| 1980 | 209,000 t | -249.3% |
| 1981 | 799,000 t | +282.3% |
| 1982 | 270,000 t | -66.2% |
| 1983 | 175,000 t | -35.2% |
| 1984 | -263,000 t | -250.3% |
| 1985 | -460,000 t | +74.9% |
| 1986 | -404,000 t | -12.2% |
| 1987 | 220,000 t | -154.5% |
| 1988 | -657,000 t | -398.6% |
| 1989 | 345,000 t | -152.5% |
| 1990 | 395,000 t | +14.5% |
| 1991 | -243,000 t | -161.5% |
| 1992 | 129,000 t | -153.1% |
| 1993 | -616,000 t | -577.5% |
| 1994 | -660,000 t | +7.1% |
| 1995 | 114,000 t | -117.3% |
| 1996 | 421,000 t | +269.3% |
| 1997 | 85,500 t | -79.7% |
| 1998 | -107,500 t | -225.7% |
| 1999 | -1.90 million t | +1668.6% |
| 2000 | 48,750 t | -102.6% |
| 2001 | 1.90 million t | +3789.7% |
| 2002 | 223,250 t | -88.2% |
| 2003 | -633,250 t | -383.7% |
| 2004 | -447,625 t | -29.3% |
| 2005 | -1.80 million t | +303.0% |
| 2006 | 730,000 t | -140.5% |
| 2007 | 190,000 t | -74.0% |
| 2008 | -960,000 t | -605.3% |
| 2009 | -660,000 t | -31.2% |
| 2010 | 780,000 t | -218.2% |
| 2011 | 840,000 t | +7.7% |
| 2012 | 835,000 t | -0.6% |
| 2013 | -2.98 million t | -456.9% |
Biggest year-on-year movements
Years where Rape and Mustardseed — Stock Variation in Northern America 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 |
|---|---|---|---|
| 1978 | -4083.3% | -30,000 t | -1.25 million t |
| 2001 | +3789.7% | 48,750 t | 1.90 million t |
| 1999 | -1668.6% | -107,500 t | -1.90 million t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -34,556 t | -170,000 t | 145,000 t | 9 |
| 1970s | -139,300 t | -1.25 million t | 804,000 t | 10 |
| 1980s | 23,400 t | -657,000 t | 799,000 t | 10 |
| 1990s | -238,325 t | -1.90 million t | 421,000 t | 10 |
| 2000s | -141,674 t | -1.80 million t | 1.90 million t | 10 |
| 2010s | -131,250 t | -2.98 million t | 840,000 t | 4 |
Countries ranked near Northern America
- 24 South Africa 637.17 t compare
- 25 Azerbaijan 0 t compare
- 25 Chile 0 t compare
- 25 China, mainland 0 t compare
- 25 China, Taiwan Province of 0 t compare
- 25 Czechia 0 t compare
- 25 Ecuador 0 t compare
- 25 Egypt 0 t compare
- 25 Estonia 0 t compare
- 25 Eswatini 0 t compare
- 25 Ethiopia 0 t compare
- 25 Fiji 0 t compare
- 25 Georgia 0 t compare
- 25 Ireland 0 t compare
- 25 Kenya 0 t compare
- 25 Kyrgyzstan 0 t compare
- 25 Luxembourg 0 t compare
- 25 Malaysia 0 t compare
- 25 Malta 0 t compare
- 25 Mauritius 0 t compare
- 25 Mongolia 0 t compare
- 25 Morocco 0 t compare
- 25 Namibia 0 t compare
- 25 New Zealand 0 t compare
- 25 North Macedonia 0 t compare
- 25 Panama 0 t compare
- 25 Philippines 0 t compare
- 25 Portugal 0 t compare
- 25 Russian Federation 0 t compare
- 25 Saudi Arabia 0 t compare
- 25 Senegal 0 t compare
- 25 Slovenia 0 t compare
- 25 Sudan (former) 0 t compare
- 25 Sweden 0 t compare
- 25 Switzerland 0 t compare
- 25 Thailand 0 t compare
- 25 United Kingdom of Great Britain and Northern Ireland 0 t compare
- 25 USSR 0 t compare
- 25 Zimbabwe 0 t compare
More agriculture & rural data for Northern America
- Meat of goat, fresh or chilled — Production, annual growth rate 7.28 % change on previous year (2024)
- Meat of cattle with the bone, fresh or chilled — Producing -3.31 % change on previous year (2024)
- Meat of chickens, fresh or chilled — Yield/Carcass Weight, annual 0.5317 % change on previous year (2024)
- Meat of chickens, fresh or chilled — Production, annual growth rate 1.3 % change on previous year (2024)
- Meat of chickens, fresh or chilled — Producing Animals/Slaughtered 0.7404 % change on previous year (2024)
- Meat of goat, fresh or chilled — Yield/Carcass Weight, annual growth 0 % change on previous year (2024)
- Meat of sheep, fresh or chilled — Yield/Carcass Weight, annual growth 0 % change on previous year (2024)
- Meat of sheep, fresh or chilled — Producing Animals/Slaughtered 1.04 % change on previous year (2024)
- Meat of sheep, fresh or chilled — Production, annual growth rate 1.72 % change on previous year (2024)
- Meat of cattle with the bone, fresh or chilled — Production, annual -0.3573 % change on previous year (2024)
Frequently asked questions
- What is rape and mustardseed — stock variation in Northern America?
- Rape and mustardseed — stock variation in Northern America was -2.98 million t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest rape and mustardseed — stock variation recorded in Northern America?
- The highest recorded value was 1.90 million t in 2001.
- What is the lowest rape and mustardseed — stock variation recorded in Northern America?
- The lowest recorded value was -2.98 million t in 2013.
- How does Northern America rank for rape and mustardseed — stock variation?
- Northern America ranks 27th out of 27 groups with data for 2013.
- Is rape and mustardseed — stock variation rising or falling in Northern America?
- Over the last ten years it is down 370.6%. The long-run trend across the full record is volatile.
- Where does this Northern America data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Rape and Mustardseed — 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.