Net food imports by crop - Rice, paddy, gaps filled in Malaysia
Malaysia: Net food imports by crop - Rice, paddy, gaps filled was -115 in 2019. ◆ Volatile
Net food imports by crop - Rice, paddy, gaps filled in Malaysia, 1961–2019
Source: Statizoid (derived).
Analysis
In 2019, net food imports by crop - rice, paddy, gaps filled in Malaysia stood at -115.
The figure is up 8.0% on the previous year and up 21.2% over ten years.
Over the whole period, net food imports by crop - rice, paddy, gaps filled in Malaysia peaked at 2,671 in 2008 and was at its lowest, -122,831, in 1982.
That places Malaysia 97th out of 168 countries with data for 2019, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Net food imports by crop - Rice, paddy, gaps filled in Malaysia, year by year
| Year | Value | Change |
|---|---|---|
| 1961 | 8 | — |
| 1962 | 17 | +112.5% |
| 1963 | 2,087 | +12176.5% |
| 1964 | 2 | -99.9% |
| 1965 | -19 | -1050.0% |
| 1966 | -2 | -89.5% |
| 1967 | 63 | -3250.0% |
| 1968 | 15 | -76.2% |
| 1969 | 32 | +113.3% |
| 1970 | 37 | +15.6% |
| 1971 | 74 | +100.0% |
| 1972 | 7 | -90.5% |
| 1973 | 2 | -71.4% |
| 1974 | 460 | +22900.0% |
| 1975 | 384 | -16.5% |
| 1976 | 28 | -92.7% |
| 1977 | 0 | -100.0% |
| 1978 | 230 | — |
| 1979 | 0 | -100.0% |
| 1980 | 0 | — |
| 1981 | 0 | — |
| 1982 | -122,831 | — |
| 1983 | -11 | -100.0% |
| 1984 | -8 | -27.3% |
| 1985 | -541 | +6662.5% |
| 1986 | -11 | -98.0% |
| 1987 | -6 | -45.5% |
| 1988 | -11 | +83.3% |
| 1989 | -2 | -81.8% |
| 1990 | 0 | -100.0% |
| 1991 | -16 | — |
| 1992 | 0 | -100.0% |
| 1993 | -14 | — |
| 1994 | -111 | +692.9% |
| 1995 | -21 | -81.1% |
| 1996 | -56 | +166.7% |
| 1997 | -56 | -0.0% |
| 1998 | -21 | -62.5% |
| 1999 | -12 | -42.9% |
| 2000 | 0 | -100.0% |
| 2001 | -13 | — |
| 2002 | -95 | +630.8% |
| 2003 | -140 | +47.4% |
| 2004 | -129 | -7.9% |
| 2005 | -133 | +3.1% |
| 2006 | -61 | -54.1% |
| 2007 | 593 | -1072.1% |
| 2008 | 2,671 | +350.4% |
| 2009 | -146 | -105.5% |
| 2010 | -284 | +94.5% |
| 2011 | -307 | +8.1% |
| 2012 | 310 | -201.0% |
| 2013 | 284 | -8.4% |
| 2014 | -1 | -100.4% |
| 2015 | -155 | +15400.0% |
| 2016 | -149 | -3.9% |
| 2017 | -149 | -0.0% |
| 2018 | -125 | -16.1% |
| 2019 | -115 | -8.0% |
Malaysia compared with similar countries
- Malaysia's -115 is below the median for upper middle income countries, which is -5, 23.0× the median. (49 countries reporting)
Biggest year-on-year movements
Years where Net food imports by crop - Rice, paddy, gaps filled in Malaysia 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 | +22900.0% | 2 | 460 |
| 2015 | -15400.0% | -1 | -155 |
| 1963 | +12176.5% | 17 | 2,087 |
| 1985 | -6662.5% | -8 | -541 |
| 1967 | +3250.0% | -2 | 63 |
| 2007 | +1072.1% | -61 | 593 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 244.78 | -19 | 2,087 | 9 |
| 1970s | 122.2 | 0 | 460 | 10 |
| 1980s | -12,342 | -122,831 | 0 | 10 |
| 1990s | -30.7 | -111 | 0 | 10 |
| 2000s | 254.7 | -146 | 2,671 | 10 |
| 2010s | -69.1 | -307 | 310 | 10 |
Countries ranked near Malaysia
More reference data data for Malaysia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.7102 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.5869 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1487 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.62 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.38 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.64 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 3.29 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 21.1 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.8098 (2050)
Frequently asked questions
- What is net food imports by crop - rice, paddy, gaps filled in Malaysia?
- Net food imports by crop - rice, paddy, gaps filled in Malaysia was -115 in 2019, according to Statizoid (derived).
- What is the highest net food imports by crop - rice, paddy, gaps filled recorded in Malaysia?
- The highest recorded value was 2,671 in 2008.
- What is the lowest net food imports by crop - rice, paddy, gaps filled recorded in Malaysia?
- The lowest recorded value was -122,831 in 1982.
- How does Malaysia rank for net food imports by crop - rice, paddy, gaps filled?
- Malaysia ranks 97th out of 168 countries with data for 2019.
- Is net food imports by crop - rice, paddy, gaps filled rising or falling in Malaysia?
- Over the last ten years it is up 21.2%. The long-run trend across the full record is volatile.
- Where does this Malaysia data come from?
- The figures come from Statizoid (derived), published as part of Net food imports by crop - Rice, paddy, gaps filled. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 59 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Net food imports by crop - Rice, paddy with 90 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Net food imports by crop - Rice, paddy FAOSTAT. Available at: http://www.fao.org/faostat/en/#data
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Net food imports by crop - Rice, paddy with 90 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.