Dimension 3.1: Social Statistics in Singapore
Singapore: Dimension 3.1: Social Statistics was 0.5747 in 2023. ▲ Rising
Dimension 3.1: Social Statistics in Singapore, 2004–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Singapore recorded 0.5747 for dimension 3.1: social statistics in 2023.
Compared with earlier readings it is up 4.4% on the previous year and up 77.8% over ten years.
Over the whole period, dimension 3.1: social statistics in Singapore peaked at 0.5852 in 2021 and was at its lowest, 0.3192, in 2014.
That places Singapore 168th out of 215 countries with data for 2023, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 20 years of available data.
Dimension 3.1: Social Statistics in Singapore, year by year
| Year | Value | Change |
|---|---|---|
| 2004 | 0.3528 | — |
| 2005 | 0.3333 | -5.5% |
| 2006 | 0.3625 | +8.8% |
| 2007 | 0.3625 | +0.0% |
| 2008 | 0.3625 | +0.0% |
| 2009 | 0.3625 | +0.0% |
| 2010 | 0.3292 | -9.2% |
| 2011 | 0.3292 | +0.0% |
| 2012 | 0.3292 | +0.0% |
| 2013 | 0.3232 | -1.8% |
| 2014 | 0.3192 | -1.2% |
| 2015 | 0.3937 | +23.3% |
| 2016 | 0.4145 | +5.3% |
| 2017 | 0.4145 | +0.0% |
| 2018 | 0.4495 | +8.4% |
| 2019 | 0.442 | -1.7% |
| 2020 | 0.5125 | +16.0% |
| 2021 | 0.5852 | +14.2% |
| 2022 | 0.5503 | -6.0% |
| 2023 | 0.5747 | +4.4% |
Singapore compared with similar countries
- Singapore's 0.5747 is below the median for high income countries, which is 0.6813, 84% of the median. (85 countries reporting)
- Singapore's 0.5747 is below the median for East Asia & Pacific, which is 0.645, 89% of the median. (37 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.356 | 0.3333 | 0.3625 | 6 |
| 2010s | 0.3744 | 0.3192 | 0.4495 | 10 |
| 2020s | 0.5557 | 0.5125 | 0.5852 | 4 |
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 dimension 3.1: social statistics in Singapore?
- Dimension 3.1: social statistics in Singapore was 0.5747 in 2023, according to Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
- What is the highest dimension 3.1: social statistics recorded in Singapore?
- The highest recorded value was 0.5852 in 2021.
- What is the lowest dimension 3.1: social statistics recorded in Singapore?
- The lowest recorded value was 0.3192 in 2014.
- How does Singapore rank for dimension 3.1: social statistics?
- Singapore ranks 168th out of 215 countries with data for 2023.
- Is dimension 3.1: social statistics rising or falling in Singapore?
- Over the last ten years it is up 77.8%. The long-run trend across the full record is rising.
- Where does this Singapore data come from?
- The figures come from Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as part of Dimension 3.1: Social Statistics. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 20 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Average score for Goal 1-6 indicators. The primary data source is the UN SDG database. Whilst this is a database with comprehensive coverage that all countries have signed up to, it is clear that many (particularly developed countries) are not yet submitting their available national data. Scores for these countries are likely to represent an indicator of their willingness to submit national data rather than their performance in calculating the indicators. For OECD countries, we supplement the UN SDG database with comparable data submitted to the OECD following the methodology in Measuring Distance to the SDG Targets 2019: An Assessment of Where OECD Countries Stand (https://www.oecd.org/sdd/measuring-distance-to-the-sdg-targets-2019-a8caf3fa-en.htm).