Road Traffic Accident Casualties, Monthly

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Data explorer

RoadTrafficAccidentCasualtiesMonthly.csv (30 rows, 28.2 KB)

Data Series Text	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)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	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	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	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	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	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	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	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	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	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	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 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	-
2024 Jul	2024Jul	Numeric	Number	-
2024 Jun	2024Jun	Numeric	Number	-
2024 May	2024May	Numeric	Number	-
2024 Apr	2024Apr	Numeric	Number	-
2024 Mar	2024Mar	Numeric	Number	-
2024 Feb	2024Feb	Numeric	Number	-
2024 Jan	2024Jan	Numeric	Number	-
2023 Dec	2023Dec	Numeric	Number	-
2023 Nov	2023Nov	Numeric	Number	-
2023 Oct	2023Oct	Numeric	Number	-
2023 Sep	2023Sep	Numeric	Number	-
2023 Aug	2023Aug	Numeric	Number	-
2023 Jul	2023Jul	Numeric	Number	-
2023 Jun	2023Jun	Numeric	Number	-
2023 May	2023May	Numeric	Number	-
2023 Apr	2023Apr	Numeric	Number	-
2023 Mar	2023Mar	Numeric	Number	-
2023 Feb	2023Feb	Numeric	Number	-
2023 Jan	2023Jan	Numeric	Number	-
2022 Dec	2022Dec	Numeric	Number	-
2022 Nov	2022Nov	Numeric	Number	-
2022 Oct	2022Oct	Numeric	Number	-
2022 Sep	2022Sep	Numeric	Number	-
2022 Aug	2022Aug	Numeric	Number	-
2022 Jul	2022Jul	Numeric	Number	-
2022 Jun	2022Jun	Numeric	Number	-
2022 May	2022May	Numeric	Number	-
2022 Apr	2022Apr	Numeric	Number	-
2022 Mar	2022Mar	Numeric	Number	-
2022 Feb	2022Feb	Numeric	Number	-
2022 Jan	2022Jan	Numeric	Number	-
2021 Dec	2021Dec	Numeric	Number	-
2021 Nov	2021Nov	Numeric	Number	-
2021 Oct	2021Oct	Numeric	Number	-
2021 Sep	2021Sep	Numeric	Number	-
2021 Aug	2021Aug	Numeric	Number	-
2021 Jul	2021Jul	Numeric	Number	-
2021 Jun	2021Jun	Numeric	Number	-
2021 May	2021May	Numeric	Number	-
2021 Apr	2021Apr	Numeric	Number	-
2021 Mar	2021Mar	Numeric	Number	-
2021 Feb	2021Feb	Numeric	Number	-
2021 Jan	2021Jan	Numeric	Number	-
2020 Dec	2020Dec	Numeric	Number	-
2020 Nov	2020Nov	Numeric	Number	-
2020 Oct	2020Oct	Numeric	Number	-
2020 Sep	2020Sep	Numeric	Number	-
2020 Aug	2020Aug	Numeric	Number	-
2020 Jul	2020Jul	Numeric	Number	-
2020 Jun	2020Jun	Numeric	Number	-
2020 May	2020May	Numeric	Number	-
2020 Apr	2020Apr	Numeric	Number	-
2020 Mar	2020Mar	Numeric	Number	-
2020 Feb	2020Feb	Numeric	Number	-
2020 Jan	2020Jan	Numeric	Number	-
2019 Dec	2019Dec	Numeric	Number	-
2019 Nov	2019Nov	Numeric	Number	-
2019 Oct	2019Oct	Numeric	Number	-
2019 Sep	2019Sep	Numeric	Number	-
2019 Aug	2019Aug	Numeric	Number	-
2019 Jul	2019Jul	Numeric	Number	-
2019 Jun	2019Jun	Numeric	Number	-
2019 May	2019May	Numeric	Number	-
2019 Apr	2019Apr	Numeric	Number	-
2019 Mar	2019Mar	Numeric	Number	-
2019 Feb	2019Feb	Numeric	Number	-
2019 Jan	2019Jan	Numeric	Number	-
2018 Dec	2018Dec	Numeric	Number	-
2018 Nov	2018Nov	Numeric	Number	-
2018 Oct	2018Oct	Numeric	Number	-
2018 Sep	2018Sep	Numeric	Number	-
2018 Aug	2018Aug	Numeric	Number	-
2018 Jul	2018Jul	Numeric	Number	-
2018 Jun	2018Jun	Numeric	Number	-
2018 May	2018May	Numeric	Number	-
2018 Apr	2018Apr	Numeric	Number	-
2018 Mar	2018Mar	Numeric	Number	-
2018 Feb	2018Feb	Numeric	Number	-
2018 Jan	2018Jan	Numeric	Number	-
2017 Dec	2017Dec	Numeric	Number	-
2017 Nov	2017Nov	Numeric	Number	-
2017 Oct	2017Oct	Numeric	Number	-
2017 Sep	2017Sep	Numeric	Number	-
2017 Aug	2017Aug	Numeric	Number	-
2017 Jul	2017Jul	Numeric	Number	-
2017 Jun	2017Jun	Numeric	Number	-
2017 May	2017May	Numeric	Number	-
2017 Apr	2017Apr	Numeric	Number	-
2017 Mar	2017Mar	Numeric	Number	-
2017 Feb	2017Feb	Numeric	Number	-
2017 Jan	2017Jan	Numeric	Number	-
2016 Dec	2016Dec	Text	Number	-
2016 Nov	2016Nov	Text	Number	-
2016 Oct	2016Oct	Text	Number	-
2016 Sep	2016Sep	Text	Number	-
2016 Aug	2016Aug	Text	Number	-
2016 Jul	2016Jul	Text	Number	-
2016 Jun	2016Jun	Text	Number	-
2016 May	2016May	Text	Number	-
2016 Apr	2016Apr	Text	Number	-
2016 Mar	2016Mar	Text	Number	-
2016 Feb	2016Feb	Text	Number	-
2016 Jan	2016Jan	Text	Number	-
2015 Dec	2015Dec	Text	Number	-
2015 Nov	2015Nov	Text	Number	-
2015 Oct	2015Oct	Text	Number	-
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2015 Jun	2015Jun	Text	Number	-
2015 May	2015May	Text	Number	-
2015 Apr	2015Apr	Text	Number	-
2015 Mar	2015Mar	Text	Number	-
2015 Feb	2015Feb	Text	Number	-
2015 Jan	2015Jan	Text	Number	-
2014 Dec	2014Dec	Text	Number	-
2014 Nov	2014Nov	Text	Number	-
2014 Oct	2014Oct	Text	Number	-
2014 Sep	2014Sep	Text	Number	-
2014 Aug	2014Aug	Text	Number	-
2014 Jul	2014Jul	Text	Number	-
2014 Jun	2014Jun	Text	Number	-
2014 May	2014May	Text	Number	-
2014 Apr	2014Apr	Text	Number	-
2014 Mar	2014Mar	Text	Number	-
2014 Feb	2014Feb	Text	Number	-
2014 Jan	2014Jan	Text	Number	-
2013 Dec	2013Dec	Text	Number	-
2013 Nov	2013Nov	Text	Number	-
2013 Oct	2013Oct	Text	Number	-
2013 Sep	2013Sep	Text	Number	-
2013 Aug	2013Aug	Text	Number	-
2013 Jul	2013Jul	Text	Number	-
2013 Jun	2013Jun	Text	Number	-
2013 May	2013May	Text	Number	-
2013 Apr	2013Apr	Text	Number	-
2013 Mar	2013Mar	Text	Number	-
2013 Feb	2013Feb	Text	Number	-
2013 Jan	2013Jan	Text	Number	-
2012 Dec	2012Dec	Text	Number	-
2012 Nov	2012Nov	Text	Number	-
2012 Oct	2012Oct	Text	Number	-
2012 Sep	2012Sep	Text	Number	-
2012 Aug	2012Aug	Text	Number	-
2012 Jul	2012Jul	Text	Number	-
2012 Jun	2012Jun	Text	Number	-
2012 May	2012May	Text	Number	-
2012 Apr	2012Apr	Text	Number	-
2012 Mar	2012Mar	Text	Number	-
2012 Feb	2012Feb	Text	Number	-
2012 Jan	2012Jan	Text	Number	-
2011 Dec	2011Dec	Text	Number	-
2011 Nov	2011Nov	Text	Number	-
2011 Oct	2011Oct	Text	Number	-
2011 Sep	2011Sep	Text	Number	-
2011 Aug	2011Aug	Text	Number	-
2011 Jul	2011Jul	Text	Number	-
2011 Jun	2011Jun	Text	Number	-
2011 May	2011May	Text	Number	-
2011 Apr	2011Apr	Text	Number	-
2011 Mar	2011Mar	Text	Number	-
2011 Feb	2011Feb	Text	Number	-
2011 Jan	2011Jan	Text	Number	-
2010 Dec	2010Dec	Text	Number	-
2010 Nov	2010Nov	Text	Number	-
2010 Oct	2010Oct	Text	Number	-
2010 Sep	2010Sep	Text	Number	-
2010 Aug	2010Aug	Text	Number	-
2010 Jul	2010Jul	Text	Number	-
2010 Jun	2010Jun	Text	Number	-
2010 May	2010May	Text	Number	-
2010 Apr	2010Apr	Text	Number	-
2010 Mar	2010Mar	Text	Number	-
2010 Feb	2010Feb	Text	Number	-
2010 Jan	2010Jan	Text	Number	-
2009 Dec	2009Dec	Text	Number	-
2009 Nov	2009Nov	Text	Number	-
2009 Oct	2009Oct	Text	Number	-
2009 Sep	2009Sep	Text	Number	-
2009 Aug	2009Aug	Text	Number	-
2009 Jul	2009Jul	Text	Number	-
2009 Jun	2009Jun	Text	Number	-
2009 May	2009May	Text	Number	-
2009 Apr	2009Apr	Text	Number	-
2009 Mar	2009Mar	Text	Number	-
2009 Feb	2009Feb	Text	Number	-
2009 Jan	2009Jan	Text	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, 28.2 KB)

Column legend

Analyse this dataset with Colab Notebook

Sample OpenAPI query

Citation

About this dataset

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