Sawnwood — Export value, annual growth rate in Singapore
Singapore: Sawnwood — Export value, annual growth rate was -74.79 % change on previous year in 2024. ◆ Volatile
Sawnwood — Export value, annual growth rate in Singapore, 1963–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Singapore recorded -74.79 % change on previous year for sawnwood — export value, annual growth rate in 2024. That is the lowest value across all 61 years on record.
That represents a change of down 225.5% on the previous year and down 686.4% over ten years.
Over the whole period, sawnwood — export value, annual growth rate in Singapore peaked at 193.64 % change on previous year in 2018 and was at its lowest, -74.79 % change on previous year, in 2024.
That places Singapore 147th out of 216 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Sawnwood — Export value, annual growth rate in Singapore, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1963 | -48.98 % change on previous year | — |
| 1965 | 18.17 % change on previous year | -137.1% |
| 1966 | 12.21 % change on previous year | -32.8% |
| 1967 | 5.17 % change on previous year | -57.7% |
| 1968 | 28.62 % change on previous year | +453.7% |
| 1969 | 32.85 % change on previous year | +14.8% |
| 1970 | 8.19 % change on previous year | -75.1% |
| 1971 | -10.85 % change on previous year | -232.5% |
| 1972 | 44.78 % change on previous year | -512.6% |
| 1973 | 165.97 % change on previous year | +270.7% |
| 1974 | -28.74 % change on previous year | -117.3% |
| 1975 | -26.58 % change on previous year | -7.5% |
| 1976 | 92.67 % change on previous year | -448.6% |
| 1977 | 6.4 % change on previous year | -93.1% |
| 1978 | 25.07 % change on previous year | +291.9% |
| 1979 | 79.37 % change on previous year | +216.6% |
| 1980 | -8.97 % change on previous year | -111.3% |
| 1981 | -29.52 % change on previous year | +229.1% |
| 1982 | -13.9 % change on previous year | -52.9% |
| 1983 | 20.41 % change on previous year | -246.8% |
| 1984 | -17.98 % change on previous year | -188.1% |
| 1985 | -14.35 % change on previous year | -20.2% |
| 1986 | 16.56 % change on previous year | -215.4% |
| 1987 | 44.76 % change on previous year | +170.3% |
| 1988 | 16.06 % change on previous year | -64.1% |
| 1989 | 10.99 % change on previous year | -31.6% |
| 1990 | -14.97 % change on previous year | -236.2% |
| 1991 | -31.95 % change on previous year | +113.5% |
| 1992 | 55.74 % change on previous year | -274.5% |
| 1993 | -15.06 % change on previous year | -127.0% |
| 1994 | -15.7 % change on previous year | +4.3% |
| 1995 | -27.39 % change on previous year | +74.4% |
| 1996 | -9.95 % change on previous year | -63.7% |
| 1997 | 16.91 % change on previous year | -270.0% |
| 1998 | -34 % change on previous year | -301.1% |
| 1999 | -30.23 % change on previous year | -11.1% |
| 2000 | 8.14 % change on previous year | -126.9% |
| 2001 | -7.07 % change on previous year | -186.9% |
| 2002 | 14.01 % change on previous year | -298.1% |
| 2003 | -3.64 % change on previous year | -126.0% |
| 2004 | -6.33 % change on previous year | +74.0% |
| 2005 | 23.52 % change on previous year | -471.5% |
| 2006 | -7.68 % change on previous year | -132.7% |
| 2007 | -1.43 % change on previous year | -81.4% |
| 2008 | 2.99 % change on previous year | -309.2% |
| 2009 | -47.95 % change on previous year | -1702.4% |
| 2010 | 18.52 % change on previous year | -138.6% |
| 2011 | 5.38 % change on previous year | -70.9% |
| 2012 | -13.64 % change on previous year | -353.6% |
| 2013 | -44.16 % change on previous year | +223.7% |
| 2014 | -9.51 % change on previous year | -78.5% |
| 2015 | -12.21 % change on previous year | +28.3% |
| 2016 | -43.57 % change on previous year | +257.0% |
| 2017 | -18.31 % change on previous year | -58.0% |
| 2018 | 193.64 % change on previous year | -1157.3% |
| 2019 | -32.56 % change on previous year | -116.8% |
| 2020 | -56.45 % change on previous year | +73.4% |
| 2021 | 50.64 % change on previous year | -189.7% |
| 2022 | 84.37 % change on previous year | +66.6% |
| 2023 | -22.98 % change on previous year | -127.2% |
| 2024 | -74.79 % change on previous year | +225.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 8 % change on previous year | -48.98 % change on previous year | 32.85 % change on previous year | 6 |
| 1970s | 35.63 % change on previous year | -28.74 % change on previous year | 165.97 % change on previous year | 10 |
| 1980s | 2.4 % change on previous year | -29.52 % change on previous year | 44.76 % change on previous year | 10 |
| 1990s | -10.66 % change on previous year | -34 % change on previous year | 55.74 % change on previous year | 10 |
| 2000s | -2.54 % change on previous year | -47.95 % change on previous year | 23.52 % change on previous year | 10 |
| 2010s | 4.36 % change on previous year | -44.16 % change on previous year | 193.64 % change on previous year | 10 |
| 2020s | -3.84 % change on previous year | -74.79 % change on previous year | 84.37 % change on previous year | 5 |
Countries ranked near Singapore
- 144 El Salvador -65.42 % change on previous year compare
- 145 Jordan -70.9 % change on previous year compare
- 146 Senegal -73.32 % change on previous year compare
- 148 Costa Rica -78.93 % change on previous year compare
- 149 Kenya -79.56 % change on previous year compare
- 150 Central African Republic -81.48 % 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)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0.0047 m3 per person (2024)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0.0007 1000 USD per person (2024)
- Sawnwood, coniferous — Import quantity, annual growth rate -34.35 % change on previous year (2024)
Frequently asked questions
- What is sawnwood — export value, annual growth rate in Singapore?
- Sawnwood — export value, annual growth rate in Singapore was -74.79 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest sawnwood — export value, annual growth rate recorded in Singapore?
- The highest recorded value was 193.64 % change on previous year in 2018.
- What is the lowest sawnwood — export value, annual growth rate recorded in Singapore?
- The lowest recorded value was -74.79 % change on previous year in 2024.
- How does Singapore rank for sawnwood — export value, annual growth rate?
- Singapore ranks 147th out of 216 countries with data for 2024.
- Is sawnwood — export value, annual growth rate rising or falling in Singapore?
- Over the last ten years it is down 686.4%. 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 Sawnwood — Export value, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 61 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 Sawnwood — Export value. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Sawnwood — Export 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 Sawnwood — Export value. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.