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Economy

Mortality Rates Attributed To Suicide, Cardiovascular Disease, Cancer, Diabetes Or Chronic Respiratory Disease, Annual

Data from Jan 2015 to Dec 2024

Last updated: 08 Mar 2026, 22:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: IMMIGRATION AND CHECKPOINTS AUTHORITY, MINISTRY OF HEALTH

Data Last Updated: 26/12/2025

Update Frequency: Annual

Footnotes: Please refer to the Sustainable Development Goals (SDG) Global Metadata (https://unstats.un.org/sdgs/metadata) for more information on SDG 3.4.1 and 3.4.2.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M870481

Sample OpenAPI query

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_12f48e794a60ef400d9193d2177a9d37"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2024). Mortality Rates Attributed To Suicide, Cardiovascular Disease, Cancer, Diabetes Or Chronic Respiratory Disease, Annual (2026) [Dataset]. data.gov.sg. Retrieved April 5, 2026 from https://data.gov.sg/datasets/d_12f48e794a60ef400d9193d2177a9d37/view

About this dataset

Contact

feedback@data.gov.sg

Created on

22 Oct 2024

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

SINGSTAT (Singapore Department of Statistics)

‌

Economy

Mortality Rates Attributed To Suicide, Cardiovascular Disease, Cancer, Diabetes Or Chronic Respiratory Disease, Annual

Data from Jan 2015 to Dec 2024

Last updated: 08 Mar 2026, 22:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: IMMIGRATION AND CHECKPOINTS AUTHORITY, MINISTRY OF HEALTH

Data Last Updated: 26/12/2025

Update Frequency: Annual

Footnotes: Please refer to the Sustainable Development Goals (SDG) Global Metadata (https://unstats.un.org/sdgs/metadata) for more information on SDG 3.4.1 and 3.4.2.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M870481

‌

Data explorer

MortalityRatesAttributedToSuicideCardiovascularDiseaseCancerDiabetesOrChronicRespiratoryDiseaseAnnual.csv (13 rows, 1.6 KB)

Data Series Text	2015 Text	2024 Text	2023 Numeric	2022 Numeric	2021 Numeric	2020 Numeric	2019 Numeric	2018 Numeric	2017 Numeric	2016 Numeric
(Null)0.0%	(Null)53.8%	(Null)7.7%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%
Mortality Rate Attributed To Cardiovascular Disease, Cancer, Diabetes Or Chronic Respiratory Disease	na	8.6	8.8	9	9.2	8.8	8.5	8.9	9.3	9.5
Mortality Rate Attributed To Cardiovascular Disease, Cancer, Diabetes Or Chronic Respiratory Disease - Males	na	11	11.5	11.5	11.7	11.3	10.7	11.4	11.6	12.2
Mortality Rate Attributed To Cardiovascular Disease, Cancer, Diabetes Or Chronic Respiratory Disease - Females	na	6.3	6	6.5	6.7	6.4	6.4	6.5	7	6.9
Mortality Rate Attributed To Cardiovascular Disease	na	4.1	4.2	4.3	4.3	4	3.7	3.8	4	4.1
Mortality Rate Attributed To Cancer	na	4.4	4.4	4.5	4.7	4.6	4.6	5	5	5.2
Mortality Rate Attributed To Diabetes	na	0.1	0.1	0.2	0.1	0.2	0.2	0.2	0.2	0.2
Mortality Rate Attributed To Chronic Respiratory Disease	na	0.2	0.2	0.2	0.2	0.2	0.3	0.3	0.3	0.3
Suicide Mortality Rate	8.4	na	6.2	9.1	7.8	8.9	8	8.4	7.7	8.5
Suicide Mortality Rate - Males	11.4	7.6	11.2	11.9	10.5	12.6	11	12.1	10.2	11
Suicide Mortality Rate - Females	5.6	4.3	5.4	6.4	5.1	5.3	5.2	4.8	5.4	6.2

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Per Cent	-
2015	2015	Text	Per Cent	-
2024	2024	Text	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	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_12f48e794a60ef400d9193d2177a9d37
2. Click on the button below