Value Added (Agriculture, Forestry and Fishing) — Value Standard in Malaysia
Malaysia: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 11.07 % change on previous year in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Malaysia, 1971–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Malaysia stood at 11.07 % change on previous year.
Compared with earlier readings it is up 194.8% on the previous year and up 92.1% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Malaysia peaked at 39.02 % change on previous year in 1974 and was at its lowest, -14.38 % change on previous year, in 2009.
That places Malaysia 53rd out of 214 countries with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Malaysia, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1971 | 6.41 % change on previous year | — |
| 1972 | 10.81 % change on previous year | +68.6% |
| 1973 | 32.82 % change on previous year | +203.7% |
| 1974 | 39.02 % change on previous year | +18.9% |
| 1975 | -7.56 % change on previous year | -119.4% |
| 1976 | 20.38 % change on previous year | -369.4% |
| 1977 | 10.5 % change on previous year | -48.5% |
| 1978 | 4.26 % change on previous year | -59.5% |
| 1979 | 21.39 % change on previous year | +402.5% |
| 1980 | 6.3 % change on previous year | -70.6% |
| 1981 | 2.41 % change on previous year | -61.7% |
| 1982 | 7.06 % change on previous year | +192.5% |
| 1983 | -1.97 % change on previous year | -127.9% |
| 1984 | 22.67 % change on previous year | -1248.7% |
| 1985 | -2.92 % change on previous year | -112.9% |
| 1986 | -8.03 % change on previous year | +174.7% |
| 1987 | 12 % change on previous year | -249.5% |
| 1988 | 14.55 % change on previous year | +21.3% |
| 1989 | 2.63 % change on previous year | -81.9% |
| 1990 | -4.77 % change on previous year | -281.3% |
| 1991 | 7.05 % change on previous year | -247.8% |
| 1992 | 13.2 % change on previous year | +87.1% |
| 1993 | 8.12 % change on previous year | -38.5% |
| 1994 | 12.47 % change on previous year | +53.6% |
| 1995 | 7.89 % change on previous year | -36.7% |
| 1996 | 2.87 % change on previous year | -63.6% |
| 1997 | 5.55 % change on previous year | +93.2% |
| 1998 | 20.53 % change on previous year | +269.7% |
| 1999 | -13.52 % change on previous year | -165.8% |
| 2000 | -6.02 % change on previous year | -55.5% |
| 2001 | -7.84 % change on previous year | +30.2% |
| 2002 | 21.9 % change on previous year | -379.5% |
| 2003 | 13.18 % change on previous year | -39.8% |
| 2004 | 12.77 % change on previous year | -3.1% |
| 2005 | 2.19 % change on previous year | -82.8% |
| 2006 | 14.41 % change on previous year | +557.6% |
| 2007 | 29.32 % change on previous year | +103.5% |
| 2008 | 15.51 % change on previous year | -47.1% |
| 2009 | -14.38 % change on previous year | -192.7% |
| 2010 | 26.12 % change on previous year | -281.7% |
| 2011 | 25.99 % change on previous year | -0.5% |
| 2012 | -8.91 % change on previous year | -134.3% |
| 2013 | -2.41 % change on previous year | -73.0% |
| 2014 | 5.76 % change on previous year | -339.0% |
| 2015 | -0.6499 % change on previous year | -111.3% |
| 2016 | 8.42 % change on previous year | -1396.2% |
| 2017 | 11.57 % change on previous year | +37.4% |
| 2018 | -7.83 % change on previous year | -167.7% |
| 2019 | 0.7218 % change on previous year | -109.2% |
| 2020 | 5.74 % change on previous year | +695.8% |
| 2021 | 28.03 % change on previous year | +388.0% |
| 2022 | 7.76 % change on previous year | -72.3% |
| 2023 | -11.67 % change on previous year | -250.5% |
| 2024 | 11.07 % change on previous year | -194.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 15.34 % change on previous year | -7.56 % change on previous year | 39.02 % change on previous year | 9 |
| 1980s | 5.47 % change on previous year | -8.03 % change on previous year | 22.67 % change on previous year | 10 |
| 1990s | 5.94 % change on previous year | -13.52 % change on previous year | 20.53 % change on previous year | 10 |
| 2000s | 8.11 % change on previous year | -14.38 % change on previous year | 29.32 % change on previous year | 10 |
| 2010s | 5.88 % change on previous year | -8.91 % change on previous year | 26.12 % change on previous year | 10 |
| 2020s | 8.19 % change on previous year | -11.67 % change on previous year | 28.03 % change on previous year | 5 |
Countries ranked near Malaysia
- 50 Tajikistan 11.22 % change on previous year compare
- 51 Croatia 11.13 % change on previous year compare
- 52 Mali 11.12 % change on previous year compare
- 54 India 10.98 % change on previous year compare
- 55 Venezuela (Bolivarian Republic of) 10.61 % change on previous year compare
- 56 Cabo Verde 10.58 % change on previous year compare
More environment data for Malaysia
- Historical exposure to drought — Land soil moisture anomaly -1.65 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -1.9 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.179 °C (2025)
- Temperature change 1.25 °C (2025)
- Land area equipped for irrigation — Area, annual growth rate 0 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 0.0044 million SLC per person (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, annual 10.68 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, per unit 0 million USD per US$ of GDP (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, per 0.001 million USD per person (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Malaysia?
- Value added (agriculture, forestry and fishing) — value standard in Malaysia was 11.07 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Malaysia?
- The highest recorded value was 39.02 % change on previous year in 1974.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Malaysia?
- The lowest recorded value was -14.38 % change on previous year in 2009.
- How does Malaysia rank for value added (agriculture, forestry and fishing) — value standard?
- Malaysia ranks 53rd out of 214 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Malaysia?
- Over the last ten years it is up 92.1%. 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 Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 54 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Value Added (Agriculture, Forestry and Fishing) — Value Standard Food and Agriculture Organization of the United Nations
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
The year-on-year percentage change in Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.