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Economy

Persons Arrested By Sex, According To Residential Status And Broad Age Group, Annual

Data from Jan 2011 to Dec 2025

Last updated: 01 Apr 2026, 19:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE POLICE FORCE

Data Last Updated: 20/02/2026

Update Frequency: Annual

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M890881

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_1f0bc0a09aee736864d18d2e184b70eb"
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). Persons Arrested By Sex, According To Residential Status And Broad Age Group, Annual (2026) [Dataset]. data.gov.sg. Retrieved April 6, 2026 from https://data.gov.sg/datasets/d_1f0bc0a09aee736864d18d2e184b70eb/view

About this dataset

Contact

feedback@data.gov.sg

Created on

03 Jul 2024

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)

‌

Economy

Persons Arrested By Sex, According To Residential Status And Broad Age Group, Annual

Data from Jan 2011 to Dec 2025

Last updated: 01 Apr 2026, 19:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE POLICE FORCE

Data Last Updated: 20/02/2026

Update Frequency: Annual

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M890881

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Data explorer

PersonsArrestedBySexAccordingToResidentialStatusAndBroadAgeGroupAnnual.csv (26 rows, 3 KB)

Data Series Text	2025 Numeric	2024 Text	2023 Text	2022 Text	2021 Text	2020 Text	2019 Text	2018 Text	2017 Text	2016 Text	2015 Text	2014 Text	2013 Text	2012 Text	2011 Text
(Null)0.0%	(Null)0.0%	(Null)11.5%	(Null)7.7%	(Null)7.7%	(Null)15.4%	(Null)30.8%	(Null)30.8%	(Null)30.8%	(Null)30.8%	(Null)30.8%	(Null)30.8%	(Null)30.8%	(Null)30.8%	(Null)30.8%	(Null)30.8%
Total Persons Arrested	23580	15454	15605	15618	18059	15079	17146	17220	16636	17005	16929	17687	17002	18249	18561
Male	17303	11405	11612	11746	13639	11542	13128	13171	12777	12991	13097	14066	13598	14275	14444
Female	6259	4030	3984	3857	4411	3537	4018	4049	3859	4014	3832	3621	3404	3974	4117
Unknown Gender	18	19	9	15	9	na	na	na	na	na	na	na	na	na	na
Singaporeans/ Permanent Residents/ Stateless	17033	10833	10883	11053	13866	11981	12641	12731	12231	12664	12693	13403	12984	14390	14668
Male	12689	8189	8295	8519	10669	9321	9920	10021	9616	9854	10003	10866	10604	11505	11676
Female	4343	2644	2587	2525	3194	2660	2721	2710	2615	2810	2690	2537	2380	2885	2992
Unknown Gender	1	na	1	9	3	na	na	na	na	na	na	na	na	na	na
Foreigners	6443	4565	4697	4548	4186	3098	4505	4489	4405	4341	4236	4284	4018	3859	3893
Male	4545	3185	3301	3217	2970	2221	3208	3150	3161	3137	3094	3200	2994	2770	2768

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Number	-
2025	2025	Numeric	Number	-
2024	2024	Text	Number	-
2023	2023	Text	Number	-
2022	2022	Text	Number	-
2021	2021	Text	Number	-
2020	2020	Text	Number	-
2019	2019	Text	Number	-
2018	2018	Text	Number	-
2017	2017	Text	Number	-

Analyse this dataset with Colab Notebook

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