Road Traffic Accident Casualties, Monthly

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Data explorer

RoadTrafficAccidentCasualtiesMonthly.csv (30 rows, 28.5 KB)

Data Series Text	2025 Apr Numeric	2025 Mar Numeric	2025 Feb Numeric	2025 Jan Numeric	2024 Dec Numeric	2024 Nov Numeric	2024 Oct Numeric	2024 Sep Numeric	2024 Aug Numeric	2024 Jul Numeric	2024 Jun Numeric	2024 May Numeric	2024 Apr Numeric	2024 Mar Numeric	2024 Feb Numeric	2024 Jan Numeric	2023 Dec Numeric	2023 Nov Numeric	2023 Oct Numeric	2023 Sep Numeric	2023 Aug Numeric	2023 Jul Numeric	2023 Jun Numeric	2023 May Numeric	2023 Apr Numeric	2023 Mar Numeric	2023 Feb Numeric	2023 Jan Numeric	2022 Dec Numeric	2022 Nov Numeric	2022 Oct Numeric	2022 Sep Numeric	2022 Aug Numeric	2022 Jul Numeric	2022 Jun Numeric	2022 May Numeric	2022 Apr Numeric	2022 Mar Numeric	2022 Feb Numeric	2022 Jan Numeric	2021 Dec Numeric	2021 Nov Numeric	2021 Oct Numeric	2021 Sep Numeric	2021 Aug Numeric	2021 Jul Numeric	2021 Jun Numeric	2021 May Numeric	2021 Apr Numeric	2021 Mar Numeric	2021 Feb Numeric	2021 Jan Numeric	2020 Dec Numeric	2020 Nov Numeric	2020 Oct Numeric	2020 Sep Numeric	2020 Aug Numeric	2020 Jul Numeric	2020 Jun Numeric	2020 May Numeric	2020 Apr Numeric	2020 Mar Numeric	2020 Feb Numeric	2020 Jan Numeric	2019 Dec Numeric	2019 Nov Numeric	2019 Oct Numeric	2019 Sep Numeric	2019 Aug Numeric	2019 Jul Numeric	2019 Jun Numeric	2019 May Numeric	2019 Apr Numeric	2019 Mar Numeric	2019 Feb Numeric	2019 Jan Numeric	2018 Dec Numeric	2018 Nov Numeric	2018 Oct Numeric	2018 Sep Numeric	2018 Aug Numeric	2018 Jul Numeric	2018 Jun Numeric	2018 May Numeric	2018 Apr Numeric	2018 Mar Numeric	2018 Feb Numeric	2018 Jan Numeric	2017 Dec Numeric	2017 Nov Numeric	2017 Oct Numeric	2017 Sep Numeric	2017 Aug Numeric	2017 Jul Numeric	2017 Jun Numeric	2017 May Numeric	2017 Apr Numeric	2017 Mar Numeric	2017 Feb Numeric	2017 Jan Numeric	2016 Dec Text	2016 Nov Text	2016 Oct Text	2016 Sep Text	2016 Aug Text	2016 Jul Text	2016 Jun Text	2016 May Text	2016 Apr Text	2016 Mar Text	2016 Feb Text	2016 Jan Text	2015 Dec Text	2015 Nov Text	2015 Oct Text	2015 Sep Text	2015 Aug Text	2015 Jul Text	2015 Jun Text	2015 May Text	2015 Apr Text	2015 Mar Text	2015 Feb Text	2015 Jan Text	2014 Dec Text	2014 Nov Text	2014 Oct Text	2014 Sep Text	2014 Aug Text	2014 Jul Text	2014 Jun Text	2014 May Text	2014 Apr Text	2014 Mar Text	2014 Feb Text	2014 Jan Text	2013 Dec Text	2013 Nov Text	2013 Oct Text	2013 Sep Text	2013 Aug Text	2013 Jul Text	2013 Jun Text	2013 May Text	2013 Apr Text	2013 Mar Text	2013 Feb Text	2013 Jan Text	2012 Dec Text	2012 Nov Text	2012 Oct Text	2012 Sep Text	2012 Aug Text	2012 Jul Text	2012 Jun Text	2012 May Text	2012 Apr Text	2012 Mar Text	2012 Feb Text	2012 Jan Text	2011 Dec Text	2011 Nov Text	2011 Oct Text	2011 Sep Text	2011 Aug Text	2011 Jul Text	2011 Jun Text	2011 May Text	2011 Apr Text	2011 Mar Text	2011 Feb Text	2011 Jan Text	2010 Dec Text	2010 Nov Text	2010 Oct Text	2010 Sep Text	2010 Aug Text	2010 Jul Text	2010 Jun Text	2010 May Text	2010 Apr Text	2010 Mar Text	2010 Feb Text	2010 Jan Text	2009 Dec Text	2009 Nov Text	2009 Oct Text	2009 Sep Text	2009 Aug Text	2009 Jul Text	2009 Jun Text	2009 May Text	2009 Apr Text	2009 Mar Text	2009 Feb Text	2009 Jan 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)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)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)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)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)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)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)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%	(Null)6.7%
Total Casualties Fatalities	11	12	9	12	16	15	10	10	8	11	13	7	11	12	11	18	13	11	12	7	11	11	13	10	11	11	16	10	12	3	14	15	9	10	6	5	13	11	6	4	12	10	6	6	6	9	7	12	6	14	12	7	4	6	5	4	10	3	7	2	11	11	9	11	12	15	9	10	4	9	11	6	12	13	9	8	14	8	13	9	9	11	11	9	12	6	12	10	9	15	3	11	16	7	9	13	10	9	11	8	13	11	15	8	12	16	11	11	13	10	8	13	11	14	14	12	12	12	16	7	15	12	14	12	10	7	11	17	9	12	11	20	13	12	18	15	12	16	9	7	13	11	17	13	10	14	19	19	19	14	15	11	15	9	10	11	15	15	17	17	12	12	19	15	19	19	16	15	16	17	15	20	14	14	13	14	20	16	17	18	19	23	7	18	24	16	13	18	14	16	10	22	14	11	12	13
Pedestrians	3	4	1	4	2	2	1	1	2	3	2	2	2	2	2	4	2	0	5	1	5	1	10	1	5	4	2	3	6	0	5	6	3	2	3	2	1	2	2	1	2	3	2	2	4	0	1	1	0	5	2	1	1	3	3	2	0	0	0	0	2	1	2	4	4	4	3	3	3	1	4	2	5	3	3	4	3	6	1	4	0	5	3	3	5	2	4	3	4	6	1	4	7	0	0	4	6	2	4	3	5	3	6	3	0	4	6	4	4	6	4	2	3	5	3	4	3	4	5	1	5	3	2	5	3	5	6	5	3	4	4	5	2	3	3	2	6	7	2	1	6	1	4	1	2	3	5	5	3	4	7	3	3	1	5	0	6	6	2	4	3	5	3	5	7	3	4	2	2	5	5	5	4	3	3	3	4	5	3	4	9	9	3	5	7	4	3	4	3	4	5	2	3	3	3	4
Personal Mobility Device Users	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	2	0	0	0	1	0	0	0	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	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
Cyclists & Pillions	0	0	3	2	2	0	1	1	1	1	1	1	1	0	2	1	1	1	1	0	1	2	1	1	2	0	2	2	2	1	0	1	1	0	1	1	1	3	0	0	2	0	0	0	0	0	1	5	1	2	0	0	0	0	1	0	1	0	2	0	0	1	1	1	0	4	1	0	1	0	0	0	1	0	0	1	2	0	1	0	1	0	1	1	1	1	1	0	0	2	2	1	1	1	3	2	0	0	2	1	0	2	5	1	5	3	1	1	0	0	0	2	2	1	1	2	0	1	2	1	1	1	3	2	0	0	0	1	1	2	2	2	2	2	2	1	2	3	0	0	0	1	1	4	0	0	1	3	1	1	0	0	2	1	0	3	1	2	1	4	0	1	1	3	2	0	0	1	1	2	2	2	1	1	1	1	3	1	1	3	0	2	0	2	2	1	1	3	1	2	1	2	3	1	0	0
Motor Cyclists & Pillion Riders	7	5	4	6	9	10	7	5	4	6	9	4	5	8	7	11	6	9	6	6	3	6	1	7	3	6	11	4	3	1	6	3	3	6	2	2	9	5	4	3	6	3	3	1	2	9	5	6	2	5	3	5	3	3	1	2	7	2	4	2	8	5	6	6	7	6	4	7	0	8	6	4	5	10	4	3	8	2	7	5	5	6	7	4	2	3	5	7	3	4	0	5	4	4	4	4	2	6	4	4	7	5	3	2	6	8	3	5	9	4	3	7	4	6	7	6	7	6	7	3	7	8	8	3	6	2	4	8	3	4	5	11	7	4	11	9	4	5	5	6	7	4	10	8	4	5	10	5	11	6	7	5	8	5	2	2	6	5	11	8	6	4	9	6	9	12	9	8	9	9	7	11	4	6	6	7	11	6	10	7	9	9	4	10	12	9	7	9	10	8	4	8	4	6	8	7
Motor Cars And Station Wagons	1	2	1	0	2	2	0	2	1	0	1	0	1	0	0	0	0	0	0	0	2	1	1	0	0	0	1	1	0	1	2	1	0	2	0	0	0	0	0	0	1	0	0	2	0	0	0	0	0	1	7	1	0	0	0	0	1	1	1	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	2	0	3	0	0	1	3	0	1	0	2	0	0	1	1	2	1	1	0	0	1	0	1	1	1	1	0	1	1	0	0	0	1	1	1	1	0	0	1	1	0	1	1	0	1	0	0	0	1	2	2	0	0	2	0	2	1	2	0	0	2	0	0	2	1	0	2	3	2	4	3	1	0	0	1	1	1	5	2	0	0	0	2	0	3	0	0	1	3	4	2	0	0	0	2	2	3	2	1	2	0	2	0	0	0	0	2	1	1	1	0	1	0	4	1	0	1	0
Goods Vans & Pick-Ups	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	2	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	1	1	0	0	0	0	0	0	2	2	0	0	0
Goods Vans	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	0	2	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	1	1	0	0	0	0	0	0	2	2	0	0	0
Pick-Ups	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Lorries, Tipper Trucks & Trailers	0	0	0	0	1	0	1	0	0	0	0	0	1	1	0	1	0	1	0	0	0	0	0	0	0	1	0	0	1	0	0	2	2	0	0	0	1	1	0	0	0	0	1	0	0	0	0	0	2	1	0	0	0	0	0	0	1	0	0	0	1	1	0	0	1	1	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	2	0	1	0	0	0	0	0	1	1	0	0	1	0	0	0	0	1	1	1	0	1	0	0	1	1	0	0	2	1	0	0	0	0	2	0	0	1	1	0	1	0	1	0	0	0	0	1	0	2	3	1	1	1	1	1	0	1	1	2	1	0	1	1	1	1	2	2	1	0	3	0	0	2	1	1	2	1	1	0	0	0	0	3	1	1	2	0	0	0	0	1	1	0	0	0	4	0	0	0	2

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Number	-
2025 Apr	2025Apr	Numeric	Number	-
2025 Mar	2025Mar	Numeric	Number	-
2025 Feb	2025Feb	Numeric	Number	-
2025 Jan	2025Jan	Numeric	Number	-
2024 Dec	2024Dec	Numeric	Number	-
2024 Nov	2024Nov	Numeric	Number	-
2024 Oct	2024Oct	Numeric	Number	-
2024 Sep	2024Sep	Numeric	Number	-
2024 Aug	2024Aug	Numeric	Number	-

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_5dec466b08a55497218daf8bafbfe96c"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Data explorer

RoadTrafficAccidentCasualtiesMonthly.csv (30 rows, 28.5 KB)

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Created on

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Agency