Oilcrops — Losses in Canada
Canada: Oilcrops — Losses was 595,322 t in 2013. ◆ Volatile
Oilcrops — Losses in Canada, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
Canada recorded 595,322 t for oilcrops — losses in 2013. That is the highest value across all 53 years on record.
That represents a change of up 11.2% on the previous year and up 126.9% over ten years.
Over the whole period, oilcrops — losses in Canada peaked at 595,322 t in 2013 and was at its lowest, 25,829 t, in 1962.
Canada ranks 5th of 147 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Oilcrops — Losses in Canada, year by year
| Year | t | Change |
|---|---|---|
| 1961 | 27,171 t | — |
| 1962 | 25,829 t | -4.9% |
| 1963 | 28,380 t | +9.9% |
| 1964 | 31,231 t | +10.0% |
| 1965 | 44,115 t | +41.3% |
| 1966 | 43,375 t | -1.7% |
| 1967 | 37,144 t | -14.4% |
| 1968 | 38,186 t | +2.8% |
| 1969 | 50,202 t | +31.5% |
| 1970 | 92,882 t | +85.0% |
| 1971 | 94,778 t | +2.0% |
| 1972 | 77,092 t | -18.7% |
| 1973 | 77,863 t | +1.0% |
| 1974 | 54,295 t | -30.3% |
| 1975 | 76,022 t | +40.0% |
| 1976 | 64,563 t | -15.1% |
| 1977 | 87,681 t | +35.8% |
| 1978 | 130,464 t | +48.8% |
| 1979 | 136,896 t | +4.9% |
| 1980 | 107,572 t | -21.4% |
| 1981 | 110,317 t | +2.6% |
| 1982 | 111,042 t | +0.7% |
| 1983 | 116,839 t | +5.2% |
| 1984 | 130,367 t | +11.6% |
| 1985 | 141,051 t | +8.2% |
| 1986 | 153,982 t | +9.2% |
| 1987 | 157,879 t | +2.5% |
| 1988 | 159,497 t | +1.0% |
| 1989 | 137,769 t | -13.6% |
| 1990 | 151,947 t | +10.3% |
| 1991 | 161,786 t | +6.5% |
| 1992 | 151,777 t | -6.2% |
| 1993 | 203,506 t | +34.1% |
| 1994 | 269,399 t | +32.4% |
| 1995 | 254,730 t | -5.4% |
| 1996 | 219,072 t | -14.0% |
| 1997 | 259,419 t | +18.4% |
| 1998 | 292,890 t | +12.9% |
| 1999 | 324,631 t | +10.8% |
| 2000 | 273,528 t | -15.7% |
| 2001 | 263,845 t | -3.5% |
| 2002 | 199,144 t | -24.5% |
| 2003 | 262,398 t | +31.8% |
| 2004 | 282,698 t | +7.7% |
| 2005 | 345,508 t | +22.2% |
| 2006 | 352,450 t | +2.0% |
| 2007 | 349,646 t | -0.8% |
| 2008 | 437,576 t | +25.1% |
| 2009 | 447,027 t | +2.2% |
| 2010 | 465,083 t | +4.0% |
| 2011 | 495,006 t | +6.4% |
| 2012 | 535,145 t | +8.1% |
| 2013 | 595,322 t | +11.2% |
Canada compared with similar countries
- Canada's 595,322 t is above the median for high income countries, which is 4,787 t, 124.4× the median. (40 countries reporting)
Biggest year-on-year movements
Years where Oilcrops — Losses in Canada 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 |
|---|---|---|---|
| 1970 | +85.0% | 50,202 t | 92,882 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 36,181 t | 25,829 t | 50,202 t | 9 |
| 1970s | 89,254 t | 54,295 t | 136,896 t | 10 |
| 1980s | 132,632 t | 107,572 t | 159,497 t | 10 |
| 1990s | 228,916 t | 151,777 t | 324,631 t | 10 |
| 2000s | 321,382 t | 199,144 t | 447,027 t | 10 |
| 2010s | 522,639 t | 465,083 t | 595,322 t | 4 |
Countries ranked near Canada
- 2 Indonesia 2.03 million t compare
- 3 India 1.99 million t compare
- 4 Paraguay 719,291 t compare
- 4 United Republic of Tanzania 136,651 t compare
- 5 Viet Nam 41,212 t compare
- 6 Russian Federation 577,318 t compare
- 6 Melanesia 30,910 t compare
- 7 Argentina 537,795 t compare
- 7 Iran (Islamic Republic of) 20,072 t compare
- 8 Democratic People's Republic of Korea 14,400 t compare
- 8 Nigeria 325,798 t compare
More agriculture & rural data for Canada
- Agriculture, forestry, and fishing, value added (current US$), annual 31.61 % change on previous year (2022)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0193 current US$ per US$ of GDP (2022)
- Agriculture, forestry, and fishing, value added (current US$), per 1,092 current US$ per person (2022)
- Rural population, annual growth rate -0.0803 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.1712 units per person (2025)
- Share of GDP from agriculture 1.9% (2022)
- Agriculture as a share of GDP vs. GDP per capita 1.9% (2022)
- Agricultural raw materials exports 2.9% (2024)
- Agricultural raw materials imports 0.7% (2024)
Frequently asked questions
- What is oilcrops — losses in Canada?
- Oilcrops — losses in Canada was 595,322 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest oilcrops — losses recorded in Canada?
- The highest recorded value was 595,322 t in 2013.
- What is the lowest oilcrops — losses recorded in Canada?
- The lowest recorded value was 25,829 t in 1962.
- How does Canada rank for oilcrops — losses?
- Canada ranks 5th out of 147 countries with data for 2013.
- Is oilcrops — losses rising or falling in Canada?
- Over the last ten years it is up 126.9%. The long-run trend across the full record is volatile.
- Where does this Canada data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Oilcrops — Losses. 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.