Oilcrops — Losses in Thailand
Thailand: Oilcrops — Losses was 151,221 t in 2013. ◆ Volatile
Oilcrops — Losses in Thailand, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
In 2013, oilcrops — losses in Thailand stood at 151,221 t.
The figure is down 13.3% on the previous year and down 26.9% over ten years.
Over the whole period, oilcrops — losses in Thailand peaked at 206,947 t in 2003 and was at its lowest, 44,406 t, in 1970.
Thailand ranks 14th 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 Thailand, year by year
| Year | t | Change |
|---|---|---|
| 1961 | 55,226 t | — |
| 1962 | 57,643 t | +4.4% |
| 1963 | 56,440 t | -2.1% |
| 1964 | 52,813 t | -6.4% |
| 1965 | 49,853 t | -5.6% |
| 1966 | 52,506 t | +5.3% |
| 1967 | 49,000 t | -6.7% |
| 1968 | 45,878 t | -6.4% |
| 1969 | 44,479 t | -3.1% |
| 1970 | 44,406 t | -0.2% |
| 1971 | 44,756 t | +0.8% |
| 1972 | 45,807 t | +2.3% |
| 1973 | 46,848 t | +2.3% |
| 1974 | 47,552 t | +1.5% |
| 1975 | 54,585 t | +14.8% |
| 1976 | 58,018 t | +6.3% |
| 1977 | 57,688 t | -0.6% |
| 1978 | 57,391 t | -0.5% |
| 1979 | 49,974 t | -12.9% |
| 1980 | 46,263 t | -7.4% |
| 1981 | 58,643 t | +26.8% |
| 1982 | 66,641 t | +13.6% |
| 1983 | 70,848 t | +6.3% |
| 1984 | 76,520 t | +8.0% |
| 1985 | 84,697 t | +10.7% |
| 1986 | 90,135 t | +6.4% |
| 1987 | 92,877 t | +3.0% |
| 1988 | 104,651 t | +12.7% |
| 1989 | 113,172 t | +8.1% |
| 1990 | 106,146 t | -6.2% |
| 1991 | 103,979 t | -2.0% |
| 1992 | 109,776 t | +5.6% |
| 1993 | 109,555 t | -0.2% |
| 1994 | 110,118 t | +0.5% |
| 1995 | 111,725 t | +1.5% |
| 1996 | 125,545 t | +12.4% |
| 1997 | 136,131 t | +8.4% |
| 1998 | 133,435 t | -2.0% |
| 1999 | 147,745 t | +10.7% |
| 2000 | 178,391 t | +20.7% |
| 2001 | 184,053 t | +3.2% |
| 2002 | 197,662 t | +7.4% |
| 2003 | 206,947 t | +4.7% |
| 2004 | 194,297 t | -6.1% |
| 2005 | 194,130 t | -0.1% |
| 2006 | 176,571 t | -9.0% |
| 2007 | 177,747 t | +0.7% |
| 2008 | 174,532 t | -1.8% |
| 2009 | 159,365 t | -8.7% |
| 2010 | 169,644 t | +6.4% |
| 2011 | 171,707 t | +1.2% |
| 2012 | 174,400 t | +1.6% |
| 2013 | 151,221 t | -13.3% |
Thailand compared with similar countries
- Thailand's 151,221 t is above the median for upper middle income countries, which is 4,887 t, 30.9× the median. (38 countries reporting)
- Thailand's 151,221 t is above the median for East Asia & Pacific, which is 11,634 t, 13.0× the median. (12 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 51,538 t | 44,479 t | 57,643 t | 9 |
| 1970s | 50,702 t | 44,406 t | 58,018 t | 10 |
| 1980s | 80,445 t | 46,263 t | 113,172 t | 10 |
| 1990s | 119,416 t | 103,979 t | 147,745 t | 10 |
| 2000s | 184,370 t | 159,365 t | 206,947 t | 10 |
| 2010s | 166,743 t | 151,221 t | 174,400 t | 4 |
Countries ranked near Thailand
- 11 Republic of Moldova 7,200 t compare
- 11 USSR 245,275 t compare
- 12 Timor-Leste 1,153 t compare
- 12 T�rkiye 173,140 t compare
- 13 Bolivia (Plurinational State of) 701.4 t compare
- 13 Morocco 165,764 t compare
- 14 Lao People's Democratic Republic 48 t compare
- 15 Mexico 143,293 t compare
- 16 Bulgaria 137,023 t compare
- 17 Sudan (former) 128,000 t compare
More agriculture & rural data for Thailand
- Agriculture, forestry, and fishing, value added (current US$), annual 7.21 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0875 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 704.7 current US$ per person (2025)
- Rural population, annual growth rate -2.51 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.372 units per person (2025)
- Share of GDP from agriculture 8.7% (2025)
- Agriculture as a share of GDP vs. GDP per capita 8.7% (2025)
- Agricultural raw materials exports 4.0% (2024)
- Agricultural raw materials imports 1.3% (2024)
Frequently asked questions
- What is oilcrops — losses in Thailand?
- Oilcrops — losses in Thailand was 151,221 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest oilcrops — losses recorded in Thailand?
- The highest recorded value was 206,947 t in 2003.
- What is the lowest oilcrops — losses recorded in Thailand?
- The lowest recorded value was 44,406 t in 1970.
- How does Thailand rank for oilcrops — losses?
- Thailand ranks 14th out of 147 countries with data for 2013.
- Is oilcrops — losses rising or falling in Thailand?
- Over the last ten years it is down 26.9%. The long-run trend across the full record is volatile.
- Where does this Thailand 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
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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.