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View results from GE2025 and explore the electoral boundaries and more in our interactive map.
Data from Jan 2000 to Dec 2024Updated 11 days ago
SINGSTAT (Singapore Department of Statistics)Source: MINISTRY OF SUSTAINABILITY AND THE ENVIRONMENT
Data Last Updated: 10/02/2025
Update Frequency: Annual
Footnotes: Planning regions in Singapore, namely Central, West, North, North-East and East Regions, are based on Urban Redevelopment Authority (URA) Master Plan 2019 (www.ura.gov.sg/Corporate/Planning/Master-Plan/Master-Plan-2019).
Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M890971
Data Series Text | 2024 Numeric | 2023 Numeric | 2022 Numeric | 2021 Numeric | 2020 Numeric | 2019 Numeric | 2018 Numeric | 2017 Numeric | 2016 Numeric | 2015 Numeric | 2014 Numeric | 2013 Numeric | 2012 Numeric | 2011 Numeric | 2010 Numeric | 2009 Numeric | 2008 Numeric | 2007 Numeric | 2006 Numeric | 2005 Numeric | 2004 Numeric | 2003 Numeric | 2002 Numeric | 2001 Numeric | 2000 Numeric |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Null)0.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% | (Null)0.0% 100100.0% |
Proportion Of Population With Access To Improved Drinking Water Sources | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Central Region | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
East Region | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
North-East Region | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
North Region | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
West Region | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Proportion Of Population With Access To Improved Sanitation | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Central Region | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
East Region | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
North-East Region | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Data Series | DataSeries | Text | Per Cent | - |
2024 | 2024 | Numeric | Per Cent | - |
2023 | 2023 | Numeric | Per Cent | - |
2022 | 2022 | Numeric | Per Cent | - |
2021 | 2021 | Numeric | Per Cent | - |
2020 | 2020 | Numeric | Per Cent | - |
2019 | 2019 | Numeric | Per Cent | - |
2018 | 2018 | Numeric | Per Cent | - |
2017 | 2017 | Numeric | Per Cent | - |
2016 | 2016 | Numeric | Per Cent | - |
2015 | 2015 | Numeric | Per Cent | - |
2014 | 2014 | Numeric | Per Cent | - |
2013 | 2013 | Numeric | Per Cent | - |
2012 | 2012 | Numeric | Per Cent | - |
2011 | 2011 | Numeric | Per Cent | - |
2010 | 2010 | Numeric | Per Cent | - |
2009 | 2009 | Numeric | Per Cent | - |
2008 | 2008 | Numeric | Per Cent | - |
2007 | 2007 | Numeric | Per Cent | - |
2006 | 2006 | Numeric | Per Cent | - |
2005 | 2005 | Numeric | Per Cent | - |
2004 | 2004 | Numeric | Per Cent | - |
2003 | 2003 | Numeric | Per Cent | - |
2002 | 2002 | Numeric | Per Cent | - |
2001 | 2001 | Numeric | Per Cent | - |
2000 | 2000 | Numeric | Per Cent | - |
This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.
import requests
dataset_id = "d_6b6c40b2d2702ae8cf0d3f2e63adfd06"
url = "https://data.gov.sg/api/action/datastore_search?resource_id=" + dataset_id
response = requests.get(url)
print(response.json())
This dataset can be reused and cited in research publications.
22 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.