Sugar Crops Primary — Gross Production Value (constant 2014-2016) in Malaysia
Malaysia: Sugar Crops Primary — Gross Production Value (constant 2014-2016) was 0.0028 1000 Int$ per square kilometre in 2023. ◆ Volatile
Sugar Crops Primary — Gross Production Value (constant 2014-2016) in Malaysia, 1961–2023
Source: Statizoid (derived). Measured in 1000 Int$ per square kilometre.
Analysis
Malaysia recorded 0.0028 1000 Int$ per square kilometre for sugar crops primary — gross production value (constant 2014-2016) in 2023.
The figure is down 18.7% on the previous year and down 79.4% over ten years.
Over the whole period, sugar crops primary — gross production value (constant 2014-2016) in Malaysia peaked at 0.2188 1000 Int$ per square kilometre in 1995 and was at its lowest, 0.0013 1000 Int$ per square kilometre, in 2014.
That places Malaysia 122nd out of 134 countries with data for 2023, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Sugar Crops Primary — Gross Production Value (constant 2014-2016) in Malaysia, year by year
| Year | 1000 Int$ per square kilometre | Change |
|---|---|---|
| 1961 | 0.0044 1000 Int$ per square kilometre | — |
| 1962 | 0.0049 1000 Int$ per square kilometre | +12.5% |
| 1963 | 0.0051 1000 Int$ per square kilometre | +2.8% |
| 1964 | 0.0053 1000 Int$ per square kilometre | +5.4% |
| 1965 | 0.0056 1000 Int$ per square kilometre | +5.1% |
| 1966 | 0.0064 1000 Int$ per square kilometre | +14.7% |
| 1967 | 0.0066 1000 Int$ per square kilometre | +2.1% |
| 1968 | 0.0074 1000 Int$ per square kilometre | +12.5% |
| 1969 | 0.0079 1000 Int$ per square kilometre | +7.4% |
| 1970 | 0.0097 1000 Int$ per square kilometre | +22.4% |
| 1971 | 0.0141 1000 Int$ per square kilometre | +45.1% |
| 1972 | 0.0305 1000 Int$ per square kilometre | +116.5% |
| 1973 | 0.0556 1000 Int$ per square kilometre | +82.5% |
| 1974 | 0.0786 1000 Int$ per square kilometre | +41.3% |
| 1975 | 0.1094 1000 Int$ per square kilometre | +39.3% |
| 1976 | 0.1189 1000 Int$ per square kilometre | +8.6% |
| 1977 | 0.1366 1000 Int$ per square kilometre | +14.9% |
| 1978 | 0.1316 1000 Int$ per square kilometre | -3.7% |
| 1979 | 0.1373 1000 Int$ per square kilometre | +4.4% |
| 1980 | 0.0984 1000 Int$ per square kilometre | -28.4% |
| 1981 | 0.0929 1000 Int$ per square kilometre | -5.6% |
| 1982 | 0.1346 1000 Int$ per square kilometre | +44.9% |
| 1983 | 0.14 1000 Int$ per square kilometre | +4.1% |
| 1984 | 0.1503 1000 Int$ per square kilometre | +7.3% |
| 1985 | 0.1475 1000 Int$ per square kilometre | -1.8% |
| 1986 | 0.1665 1000 Int$ per square kilometre | +12.9% |
| 1987 | 0.1649 1000 Int$ per square kilometre | -1.0% |
| 1988 | 0.1557 1000 Int$ per square kilometre | -5.6% |
| 1989 | 0.1661 1000 Int$ per square kilometre | +6.7% |
| 1990 | 0.1776 1000 Int$ per square kilometre | +6.9% |
| 1991 | 0.1667 1000 Int$ per square kilometre | -6.2% |
| 1992 | 0.1803 1000 Int$ per square kilometre | +8.2% |
| 1993 | 0.2114 1000 Int$ per square kilometre | +17.2% |
| 1994 | 0.2105 1000 Int$ per square kilometre | -0.4% |
| 1995 | 0.2188 1000 Int$ per square kilometre | +3.9% |
| 1996 | 0.2186 1000 Int$ per square kilometre | -0.1% |
| 1997 | 0.2186 1000 Int$ per square kilometre | +0.0% |
| 1998 | 0.2186 1000 Int$ per square kilometre | +0.0% |
| 1999 | 0.2186 1000 Int$ per square kilometre | +0.0% |
| 2000 | 0.1503 1000 Int$ per square kilometre | -31.3% |
| 2001 | 0.1366 1000 Int$ per square kilometre | -9.1% |
| 2002 | 0.1366 1000 Int$ per square kilometre | +0.0% |
| 2003 | 0.0888 1000 Int$ per square kilometre | -35.0% |
| 2004 | 0.0683 1000 Int$ per square kilometre | -23.1% |
| 2005 | 0.0683 1000 Int$ per square kilometre | +0.0% |
| 2006 | 0.0615 1000 Int$ per square kilometre | -10.0% |
| 2007 | 0.071 1000 Int$ per square kilometre | +15.6% |
| 2008 | 0.0683 1000 Int$ per square kilometre | -3.8% |
| 2009 | 0.0478 1000 Int$ per square kilometre | -30.0% |
| 2010 | 0.0274 1000 Int$ per square kilometre | -42.7% |
| 2011 | 0.0265 1000 Int$ per square kilometre | -3.3% |
| 2012 | 0.02 1000 Int$ per square kilometre | -24.7% |
| 2013 | 0.0135 1000 Int$ per square kilometre | -32.4% |
| 2014 | 0.0013 1000 Int$ per square kilometre | -90.7% |
| 2015 | 0.0041 1000 Int$ per square kilometre | +230.7% |
| 2016 | 0.0038 1000 Int$ per square kilometre | -7.4% |
| 2017 | 0.0041 1000 Int$ per square kilometre | +7.0% |
| 2018 | 0.0032 1000 Int$ per square kilometre | -21.7% |
| 2019 | 0.0028 1000 Int$ per square kilometre | -11.6% |
| 2020 | 0.0032 1000 Int$ per square kilometre | +13.3% |
| 2021 | 0.0035 1000 Int$ per square kilometre | +8.8% |
| 2022 | 0.0034 1000 Int$ per square kilometre | -2.2% |
| 2023 | 0.0028 1000 Int$ per square kilometre | -18.7% |
Malaysia compared with similar countries
- Malaysia's 0.0028 1000 Int$ per square kilometre is below the median for upper middle income countries, which is 0.7379 1000 Int$ per square kilometre, 0% of the median. (42 countries reporting)
- Malaysia's 0.0028 1000 Int$ per square kilometre is below the median for East Asia & Pacific, which is 0.3693 1000 Int$ per square kilometre, 1% of the median. (14 countries reporting)
Biggest year-on-year movements
Years where Sugar Crops Primary — Gross Production Value (constant 2014-2016) 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 |
|---|---|---|---|
| 2015 | +230.7% | 0.0013 1000 Int$ per square kilometre | 0.0041 1000 Int$ per square kilometre |
| 1972 | +116.5% | 0.0141 1000 Int$ per square kilometre | 0.0305 1000 Int$ per square kilometre |
| 2014 | -90.7% | 0.0135 1000 Int$ per square kilometre | 0.0013 1000 Int$ per square kilometre |
| 1973 | +82.5% | 0.0305 1000 Int$ per square kilometre | 0.0556 1000 Int$ per square kilometre |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.006 1000 Int$ per square kilometre | 0.0044 1000 Int$ per square kilometre | 0.0079 1000 Int$ per square kilometre | 9 |
| 1970s | 0.0822 1000 Int$ per square kilometre | 0.0097 1000 Int$ per square kilometre | 0.1373 1000 Int$ per square kilometre | 10 |
| 1980s | 0.1417 1000 Int$ per square kilometre | 0.0929 1000 Int$ per square kilometre | 0.1665 1000 Int$ per square kilometre | 10 |
| 1990s | 0.204 1000 Int$ per square kilometre | 0.1667 1000 Int$ per square kilometre | 0.2188 1000 Int$ per square kilometre | 10 |
| 2000s | 0.0898 1000 Int$ per square kilometre | 0.0478 1000 Int$ per square kilometre | 0.1503 1000 Int$ per square kilometre | 10 |
| 2010s | 0.0107 1000 Int$ per square kilometre | 0.0013 1000 Int$ per square kilometre | 0.0274 1000 Int$ per square kilometre | 10 |
| 2020s | 0.0032 1000 Int$ per square kilometre | 0.0028 1000 Int$ per square kilometre | 0.0035 1000 Int$ per square kilometre | 4 |
Countries ranked near Malaysia
- 119 Afghanistan 0.0043 1000 Int$ per square kilometre compare
- 120 Iraq 0.0038 1000 Int$ per square kilometre compare
- 121 Singapore 0.003 1000 Int$ per square kilometre compare
- 123 Algeria 0.0022 1000 Int$ per square kilometre compare
- 124 Palestine 0.0008 1000 Int$ per square kilometre compare
- 125 Estonia 0.0006 1000 Int$ per square kilometre compare
More agriculture & rural data for Malaysia
- Agriculture, forestry, and fishing, value added (current US$), annual 13.04 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0822 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 1,078 current US$ per person (2025)
- Rural population, annual growth rate -0.913 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2261 units per person (2025)
- Share of GDP from agriculture 8.2% (2025)
- Agriculture as a share of GDP vs. GDP per capita 8.2% (2025)
- Agricultural raw materials exports 1.1% (2025)
- Agricultural raw materials imports 1.3% (2025)
Frequently asked questions
- What is sugar crops primary — gross production value (constant 2014-2016) in Malaysia?
- Sugar crops primary — gross production value (constant 2014-2016) in Malaysia was 0.0028 1000 Int$ per square kilometre in 2023, according to Statizoid (derived).
- What is the highest sugar crops primary — gross production value (constant 2014-2016) recorded in Malaysia?
- The highest recorded value was 0.2188 1000 Int$ per square kilometre in 1995.
- What is the lowest sugar crops primary — gross production value (constant 2014-2016) recorded in Malaysia?
- The lowest recorded value was 0.0013 1000 Int$ per square kilometre in 2014.
- How does Malaysia rank for sugar crops primary — gross production value (constant 2014-2016)?
- Malaysia ranks 122nd out of 134 countries with data for 2023.
- Is sugar crops primary — gross production value (constant 2014-2016) rising or falling in Malaysia?
- Over the last ten years it is down 79.4%. 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 Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$), per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 63 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$) divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$) ÷ Land area (sq. km)
Computed from
- Sugar Crops Primary — Gross Production Value Food and Agriculture Organization of the United Nations
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Sugar Crops Primary — Gross Production Value (constant 2014-2016 thousand I$) divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.