Value Added Deflator (Agriculture, forestry and fishery) — Value in Singapore
Singapore: Value Added Deflator (Agriculture, forestry and fishery) — Value was -0.5235 % change on previous year in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value in Singapore, 1971–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
The most recent figure for value added deflator (agriculture, forestry and fishery) — value in Singapore is -0.5235 % change on previous year, measured in 2024.
That represents a change of down 111.3% on the previous year and down 161.5% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value in Singapore peaked at 36.76 % change on previous year in 1973 and was at its lowest, -10.76 % change on previous year, in 1986.
That places Singapore 169th out of 206 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added Deflator (Agriculture, forestry and fishery) — Value in Singapore, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1971 | 7.36 % change on previous year | — |
| 1972 | -5.27 % change on previous year | -171.6% |
| 1973 | 36.76 % change on previous year | -797.6% |
| 1974 | 13.04 % change on previous year | -64.5% |
| 1975 | 5.64 % change on previous year | -56.7% |
| 1976 | -5.71 % change on previous year | -201.3% |
| 1977 | 5.12 % change on previous year | -189.6% |
| 1978 | -2.72 % change on previous year | -153.0% |
| 1979 | 5.21 % change on previous year | -291.8% |
| 1980 | 17.71 % change on previous year | +240.1% |
| 1981 | 10.53 % change on previous year | -40.5% |
| 1982 | 1.83 % change on previous year | -82.6% |
| 1983 | -7.52 % change on previous year | -510.8% |
| 1984 | -3.4 % change on previous year | -54.7% |
| 1985 | -6.25 % change on previous year | +83.7% |
| 1986 | -10.76 % change on previous year | +72.2% |
| 1987 | -6.56 % change on previous year | -39.0% |
| 1988 | 4.55 % change on previous year | -169.3% |
| 1989 | 2.74 % change on previous year | -39.7% |
| 1990 | 13.82 % change on previous year | +403.7% |
| 1991 | -6.03 % change on previous year | -143.6% |
| 1992 | -10.6 % change on previous year | +75.9% |
| 1993 | 5.47 % change on previous year | -151.6% |
| 1994 | 11.6 % change on previous year | +112.0% |
| 1995 | -2.7 % change on previous year | -123.3% |
| 1996 | 9.55 % change on previous year | -453.3% |
| 1997 | -0.5742 % change on previous year | -106.0% |
| 1998 | -10.37 % change on previous year | +1705.6% |
| 1999 | 2.86 % change on previous year | -127.6% |
| 2000 | -0.2356 % change on previous year | -108.2% |
| 2001 | -0.3619 % change on previous year | +53.6% |
| 2002 | 7.27 % change on previous year | -2108.3% |
| 2003 | -3.62 % change on previous year | -149.8% |
| 2004 | 4.04 % change on previous year | -211.5% |
| 2005 | 1.26 % change on previous year | -68.7% |
| 2006 | -3.11 % change on previous year | -346.3% |
| 2007 | 1.3 % change on previous year | -141.7% |
| 2008 | 3.09 % change on previous year | +137.6% |
| 2009 | -2.52 % change on previous year | -181.5% |
| 2010 | 0.1104 % change on previous year | -104.4% |
| 2011 | -1.27 % change on previous year | -1245.4% |
| 2012 | -3.3 % change on previous year | +160.8% |
| 2013 | 4.13 % change on previous year | -225.1% |
| 2014 | 0.8506 % change on previous year | -79.4% |
| 2015 | 0.5806 % change on previous year | -31.8% |
| 2016 | 1.24 % change on previous year | +112.9% |
| 2017 | 1.92 % change on previous year | +55.4% |
| 2018 | 1.77 % change on previous year | -8.0% |
| 2019 | 1.04 % change on previous year | -41.4% |
| 2020 | -0.2517 % change on previous year | -124.3% |
| 2021 | 1.83 % change on previous year | -826.2% |
| 2022 | 10.14 % change on previous year | +454.9% |
| 2023 | 4.63 % change on previous year | -54.4% |
| 2024 | -0.5235 % change on previous year | -111.3% |
Biggest year-on-year movements
Years where Value Added Deflator (Agriculture, forestry and fishery) — Value in Singapore 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 |
|---|---|---|---|
| 2002 | +2108.3% | -0.3619 % change on previous year | 7.27 % change on previous year |
| 1998 | -1705.6% | -0.5742 % change on previous year | -10.37 % change on previous year |
| 2011 | -1245.4% | 0.1104 % change on previous year | -1.27 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 6.6 % change on previous year | -5.71 % change on previous year | 36.76 % change on previous year | 9 |
| 1980s | 0.2871 % change on previous year | -10.76 % change on previous year | 17.71 % change on previous year | 10 |
| 1990s | 1.3 % change on previous year | -10.6 % change on previous year | 13.82 % change on previous year | 10 |
| 2000s | 0.7108 % change on previous year | -3.62 % change on previous year | 7.27 % change on previous year | 10 |
| 2010s | 0.7063 % change on previous year | -3.3 % change on previous year | 4.13 % change on previous year | 10 |
| 2020s | 3.16 % change on previous year | -0.5235 % change on previous year | 10.14 % change on previous year | 5 |
Countries ranked near Singapore
- 166 Qatar -0.0823 % change on previous year compare
- 167 Anguilla -0.1557 % change on previous year compare
- 168 Spain -0.3352 % change on previous year compare
- 170 Gabon -0.8098 % change on previous year compare
- 171 Rwanda -0.8895 % change on previous year compare
- 172 Armenia -0.8984 % change on previous year compare
More environment data for Singapore
- Historical exposure to drought — Land soil moisture anomaly -1.71 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.9965 Percentage change (2025)
- Standard Deviation, annual growth rate 42.94 % change on previous year (1990)
- Standard Deviation 0.253 °C (1990)
- Temperature change 0.647 °C (1990)
- Cooling Degree Days, annual growth rate 3.78 % change on previous year (2024)
- Heating Degree Days, gaps filled 0 (2020)
- Heating Degree Days, per unit of GDP 0 units per US$ of GDP (2020)
- Heating Degree Days, per capita 0 units per person (2020)
- Value Added Deflator (Agriculture, forestry and fishery) — Value US$ -0.037 % change on previous year (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value in Singapore?
- Value added deflator (agriculture, forestry and fishery) — value in Singapore was -0.5235 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest value added deflator (agriculture, forestry and fishery) — value recorded in Singapore?
- The highest recorded value was 36.76 % change on previous year in 1973.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value recorded in Singapore?
- The lowest recorded value was -10.76 % change on previous year in 1986.
- How does Singapore rank for value added deflator (agriculture, forestry and fishery) — value?
- Singapore ranks 169th out of 206 countries with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value rising or falling in Singapore?
- Over the last ten years it is down 161.5%. The long-run trend across the full record is volatile.
- Where does this Singapore data come from?
- The figures come from Statizoid (derived), published as part of Value Added Deflator (Agriculture, forestry and fishery) — Value Standard Local Currency, 2015 prices, 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 Deflator (Agriculture, forestry and fishery) — Value Standard Local Currency, 2015 prices. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Value Added Deflator (Agriculture, forestry and fishery) — Value 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 Deflator (Agriculture, forestry and fishery) — Value Standard Local Currency, 2015 prices. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.