Secure websites use HTTPS
Scam alert
Waitlist for API key is now open. Register here for higher rate limits, priority support and maintenance notifications. Rate limits will be rolled out from 1 October 2025 onwards.
Data from Jan 1960 to Dec 2023
Last updated: 14 Aug 2025, 19:00 SGT
Source: MINISTRY OF HEALTH
Data Last Updated: 27/12/2024
Update Frequency: Annual
Footnotes: Doctors refer to those on full, conditional and temporary (service) registration with valid Practising Certificate. Nurses refer to registered and enrolled nurses, as well as registered midwives. Data are used for SDG 3.c.1 'Health worker density and distribution'. Please refer to the Sustainable Development Goals (SDG) Global Metadata (https://unstats.un.org/sdgs/metadata) for more information on SDG 3.c.1.
Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M870001
Data Series Text | 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 Text | 2008 Text | 2007 Text | 2006 Text | 2005 Text | 2004 Text | 2003 Text | 2002 Text | 2001 Text | 2000 Text | 1999 Text | 1998 Text | 1997 Text | 1996 Text | 1995 Text | 1994 Text | 1993 Text | 1992 Text | 1991 Text | 1990 Text | 1989 Text | 1988 Text | 1987 Text | 1986 Text | 1985 Text | 1984 Text | 1983 Text | 1982 Text | 1981 Text | 1980 Text | 1979 Text | 1978 Text | 1977 Text | 1976 Text | 1975 Text | 1974 Text | 1973 Text | 1972 Text | 1971 Text | 1970 Text | 1969 Text | 1968 Text | 1967 Text | 1966 Text | 1965 Text | 1964 Text | 1963 Text | 1962 Text | 1961 Text | 1960 Text |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)0.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)25.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% | (Null)50.0% |
Doctors Per 10,000 Total Population | 28 | 28 | 28 | 26 | 25 | 24 | 24 | 23 | 23 | 21 | 20 | 19 | 19 | 18 | 17 | 16 | 16 | 16 | 16 | 16 | 15 | 14 | 14 | 14 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 12 | 12 | 12 | 12 | 11 | 11 | 10 | 10 | 9 | 9 | 8 | 8 | 8 | 8 | 8 | 8 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 6 | 6 | 5 | 5 | 5 | 4 | 4 | 4 | 4 |
Dentists Per 10,000 Total Population | 5 | 5 | 5 | 4 | 4 | 4 | 4 | 4 | 4 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |
Nurses Per 10,000 Total Population | 78 | 78 | 79 | 74 | 75 | 75 | 74 | 72 | 70 | 69 | 67 | 65 | 61 | 58 | 54 | 50 | 49 | 48 | 47 | 46 | 46 | 43 | 42 | 41 | 40 | 40 | 39 | 37 | 36 | 36 | 35 | 35 | 34 | 34 | 33 | 33 | 34 | 34 | 33 | 29 | 29 | 28 | 30 | 31 | 31 | 30 | 29 | 26 | 25 | 26 | na | na | na | na | na | na | na | na | na | na | na | na | na | na |
Pharmacists Per 10,000 Total Population | 7 | 7 | 7 | 6 | 6 | 6 | 5 | 5 | 5 | 5 | 4 | 4 | 4 | 4 | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na | na |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Data Series | DataSeries | Text | Number | - |
2023 | 2023 | Numeric | Number | - |
2022 | 2022 | Numeric | Number | - |
2021 | 2021 | Numeric | Number | - |
2020 | 2020 | Numeric | Number | - |
2019 | 2019 | Numeric | Number | - |
2018 | 2018 | Numeric | Number | - |
2017 | 2017 | Numeric | Number | - |
2016 | 2016 | Numeric | Number | - |
2015 | 2015 | Numeric | Number | - |
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_5257cff1ee5e6a16db6a9606a983efa4"
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.
24 Oct 2024
Free forever for personal or commercial use, under the Open Data Licence.