Renewable natural capital per capita, timber in Singapore
Singapore: Renewable natural capital per capita, timber was 2.57 real chained 2019 US$ in 2020. ▼ Falling
Renewable natural capital per capita, timber in Singapore, 1995–2020
Source: World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4. Measured in real chained 2019 US$.
Analysis
In 2020, renewable natural capital per capita, timber in Singapore stood at 2.57 real chained 2019 US$. That is the lowest value across all 26 years on record.
Compared with earlier readings it is down 0.8% on the previous year and down 21.6% over ten years.
Over the whole period, renewable natural capital per capita, timber in Singapore peaked at 4.24 real chained 2019 US$ in 1995 and was at its lowest, 2.57 real chained 2019 US$, in 2020.
That places Singapore 141st out of 151 countries with data for 2020, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 26 years of available data.
Renewable natural capital per capita, timber in Singapore, year by year
| Year | real chained 2019 US$ | Change |
|---|---|---|
| 1995 | 4.24 real chained 2019 US$ | — |
| 1996 | 4.13 real chained 2019 US$ | -2.7% |
| 1997 | 4.05 real chained 2019 US$ | -2.0% |
| 1998 | 3.96 real chained 2019 US$ | -2.0% |
| 1999 | 3.98 real chained 2019 US$ | +0.5% |
| 2000 | 3.97 real chained 2019 US$ | -0.4% |
| 2001 | 3.88 real chained 2019 US$ | -2.2% |
| 2002 | 3.86 real chained 2019 US$ | -0.5% |
| 2003 | 3.93 real chained 2019 US$ | +1.9% |
| 2004 | 3.9 real chained 2019 US$ | -0.8% |
| 2005 | 3.82 real chained 2019 US$ | -1.9% |
| 2006 | 3.72 real chained 2019 US$ | -2.7% |
| 2007 | 3.58 real chained 2019 US$ | -3.7% |
| 2008 | 3.41 real chained 2019 US$ | -4.8% |
| 2009 | 3.33 real chained 2019 US$ | -2.6% |
| 2010 | 3.28 real chained 2019 US$ | -1.4% |
| 2011 | 3.17 real chained 2019 US$ | -3.5% |
| 2012 | 3.05 real chained 2019 US$ | -3.8% |
| 2013 | 2.95 real chained 2019 US$ | -3.1% |
| 2014 | 2.87 real chained 2019 US$ | -2.8% |
| 2015 | 2.79 real chained 2019 US$ | -2.7% |
| 2016 | 2.73 real chained 2019 US$ | -2.4% |
| 2017 | 2.69 real chained 2019 US$ | -1.2% |
| 2018 | 2.65 real chained 2019 US$ | -1.6% |
| 2019 | 2.59 real chained 2019 US$ | -2.3% |
| 2020 | 2.57 real chained 2019 US$ | -0.8% |
Singapore compared with similar countries
- Singapore's 2.57 real chained 2019 US$ is below the median for high income countries, which is 365.49 real chained 2019 US$, 1% of the median. (51 countries reporting)
- Singapore's 2.57 real chained 2019 US$ is below the median for East Asia & Pacific, which is 505.5 real chained 2019 US$, 1% of the median. (16 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 4.07 real chained 2019 US$ | 3.96 real chained 2019 US$ | 4.24 real chained 2019 US$ | 5 |
| 2000s | 3.74 real chained 2019 US$ | 3.33 real chained 2019 US$ | 3.97 real chained 2019 US$ | 10 |
| 2010s | 2.88 real chained 2019 US$ | 2.59 real chained 2019 US$ | 3.28 real chained 2019 US$ | 10 |
| 2020s | 2.57 real chained 2019 US$ | 2.57 real chained 2019 US$ | 2.57 real chained 2019 US$ | 1 |
Countries ranked near Singapore
More reference data data for Singapore
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.008 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0066 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0618 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0618 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0269 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0096 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0378 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.2664 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0 (1992)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.2567 (2050)
Frequently asked questions
- What is renewable natural capital per capita, timber in Singapore?
- Renewable natural capital per capita, timber in Singapore was 2.57 real chained 2019 US$ in 2020, according to World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4.
- What is the highest renewable natural capital per capita, timber recorded in Singapore?
- The highest recorded value was 4.24 real chained 2019 US$ in 1995.
- What is the lowest renewable natural capital per capita, timber recorded in Singapore?
- The lowest recorded value was 2.57 real chained 2019 US$ in 2020.
- How does Singapore rank for renewable natural capital per capita, timber?
- Singapore ranks 141st out of 151 countries with data for 2020.
- Is renewable natural capital per capita, timber rising or falling in Singapore?
- Over the last ten years it is down 21.6%. The long-run trend across the full record is falling.
- Where does this Singapore data come from?
- The figures come from World Bank. 2021. The Changing Wealth of Nations 2021: Managing Assets for the Future. Washington, DC: World Bank. doi:10.1596/978-1-4648-1590-4, published as part of Renewable natural capital per capita, timber (real chained 2019 US$). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Natural capital includes the valuation of renewable and nonrenewable natural capital. Renewable natural capital includes agricultural land (cropland and pastureland), forests (timber, and three ecosystem services: water, recretion and non-wood forest products), protected areas, mangroves and fisheries. Nonrenewable natural capital includes fossil fuel energy (oil, gas, hard and soft coal) and minerals (bauxite, copper, gold, iron ore, lead, nickel, phosphate, silver, tin, and zinc),Values are measured at market exchange rates in constant 2018 US dollars, using a country-specific GDP deflator.