Net food imports by crop - Rice, milled, gaps filled in Malaysia
Malaysia: Net food imports by crop - Rice, milled, gaps filled was 957,967 in 2019. ◆ Volatile
Net food imports by crop - Rice, milled, gaps filled in Malaysia, 1961–2019
Source: Statizoid (derived).
Analysis
Malaysia recorded 957,967 for net food imports by crop - rice, milled, gaps filled in 2019.
That represents a change of up 20.4% on the previous year and down 9.2% over ten years.
Over the whole period, net food imports by crop - rice, milled, gaps filled in Malaysia peaked at 1.06 million in 2009 and was at its lowest, 118,476, in 1980.
Malaysia ranks 8th of 179 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Net food imports by crop - Rice, milled, gaps filled in Malaysia, year by year
| Year | Value | Change |
|---|---|---|
| 1961 | 307,962 | — |
| 1962 | 284,091 | -7.8% |
| 1963 | 381,541 | +34.3% |
| 1964 | 380,514 | -0.3% |
| 1965 | 303,790 | -20.2% |
| 1966 | 267,923 | -11.8% |
| 1967 | 291,833 | +8.9% |
| 1968 | 224,762 | -23.0% |
| 1969 | 220,772 | -1.8% |
| 1970 | 280,657 | +27.1% |
| 1971 | 196,824 | -29.9% |
| 1972 | 198,974 | +1.1% |
| 1973 | 278,165 | +39.8% |
| 1974 | 328,447 | +18.1% |
| 1975 | 144,421 | -56.0% |
| 1976 | 210,250 | +45.6% |
| 1977 | 255,124 | +21.3% |
| 1978 | 321,038 | +25.8% |
| 1979 | 203,019 | -36.8% |
| 1980 | 118,476 | -41.6% |
| 1981 | 284,001 | +139.7% |
| 1982 | 250,807 | -11.7% |
| 1983 | 311,432 | +24.2% |
| 1984 | 398,050 | +27.8% |
| 1985 | 427,469 | +7.4% |
| 1986 | 191,165 | -55.3% |
| 1987 | 196,497 | +2.8% |
| 1988 | 283,862 | +44.5% |
| 1989 | 354,768 | +25.0% |
| 1990 | 312,803 | -11.8% |
| 1991 | 393,855 | +25.9% |
| 1992 | 443,895 | +12.7% |
| 1993 | 380,156 | -14.4% |
| 1994 | 340,463 | -10.4% |
| 1995 | 427,535 | +25.6% |
| 1996 | 567,966 | +32.8% |
| 1997 | 629,944 | +10.9% |
| 1998 | 657,383 | +4.4% |
| 1999 | 578,543 | -12.0% |
| 2000 | 568,596 | -1.7% |
| 2001 | 495,125 | -12.9% |
| 2002 | 454,089 | -8.3% |
| 2003 | 322,236 | -29.0% |
| 2004 | 481,173 | +49.3% |
| 2005 | 563,237 | +17.1% |
| 2006 | 605,000 | +7.4% |
| 2007 | 600,066 | -0.8% |
| 2008 | 883,027 | +47.2% |
| 2009 | 1.06 million | +19.5% |
| 2010 | 914,900 | -13.3% |
| 2011 | 1.03 million | +12.2% |
| 2012 | 997,327 | -2.9% |
| 2013 | 874,686 | -12.3% |
| 2014 | 915,743 | +4.7% |
| 2015 | 1.05 million | +14.2% |
| 2016 | 818,463 | -21.7% |
| 2017 | 730,365 | -10.8% |
| 2018 | 795,742 | +9.0% |
| 2019 | 957,967 | +20.4% |
Malaysia compared with similar countries
- Malaysia's 957,967 is above the median for upper middle income countries, which is 18,830, 50.9× the median. (51 countries reporting)
- Malaysia's 957,967 is above the median for East Asia & Pacific, which is 36,950, 25.9× the median. (26 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 295,910 | 220,772 | 381,541 | 9 |
| 1970s | 241,692 | 144,421 | 328,447 | 10 |
| 1980s | 281,653 | 118,476 | 427,469 | 10 |
| 1990s | 473,254 | 312,803 | 657,383 | 10 |
| 2000s | 602,804 | 322,236 | 1.06 million | 10 |
| 2010s | 907,729 | 730,365 | 1.05 million | 10 |
Countries ranked near Malaysia
- 5 Iraq 1.29 million compare
- 6 Benin 1.19 million compare
- 7 Cote d'Ivoire 1.04 million compare
- 9 Mozambique 943,721 compare
- 10 South Africa 917,854 compare
- 11 Nigeria 798,588 compare
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, milled, gaps filled in Malaysia?
- Net food imports by crop - rice, milled, gaps filled in Malaysia was 957,967 in 2019, according to Statizoid (derived).
- What is the highest net food imports by crop - rice, milled, gaps filled recorded in Malaysia?
- The highest recorded value was 1.06 million in 2009.
- What is the lowest net food imports by crop - rice, milled, gaps filled recorded in Malaysia?
- The lowest recorded value was 118,476 in 1980.
- How does Malaysia rank for net food imports by crop - rice, milled, gaps filled?
- Malaysia ranks 8th out of 179 countries with data for 2019.
- Is net food imports by crop - rice, milled, gaps filled rising or falling in Malaysia?
- Over the last ten years it is down 9.2%. 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, milled, 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, milled with 52 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, milled 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, milled with 52 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.