Car Population By CC Rating (End Of Period), Annual

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Data from Jan 1986 to Dec 2023Updated 6 months ago

SINGSTAT (Singapore Department of Statistics)

Source: LAND TRANSPORT AUTHORITY

Data Last Updated: 04/03/2024

Update Frequency: Annual

Footnotes: Data refer to private cars, company cars and private hire cars only. They exclude taxis and tax exempted cars.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M650681

Data explorer

CarPopulationByCCRatingEndOfPeriodAnnual.csv (6 rows, 2.2 KB)

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 Numeric	2008 Numeric	2007 Numeric	2006 Numeric	2005 Numeric	2004 Numeric	2003 Numeric	2002 Numeric	2001 Numeric	2000 Numeric	1999 Numeric	1998 Numeric	1997 Numeric	1996 Numeric	1995 Numeric	1994 Numeric	1993 Numeric	1992 Numeric	1991 Numeric	1990 Numeric	1989 Numeric	1988 Numeric	1987 Numeric	1986 Numeric
(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%
Total	651302	650667	645150	634042	630596	615452	612256	601257	602311	616609	621345	617570	603723	595185	576988	550455	514685	472308	438194	417103	405328	404274	405354	392961	382941	375217	377365	365558	345432	324026	306216	287612	285298	272475	258537	238984	223456	221945
1,000 cc & Below	20284	14386	10423	9424	8268	6444	5388	4821	5799	6189	6364	6490	6622	7367	7650	7777	7544	7109	9514	14976	20892	26234	30680	35724	48552	52183	53094	51094	48558	47019	46245	44879	43986	42000	39710	35915	33783	33797
1,001 cc To 1,600 cc	368088	370255	367949	361261	357982	342809	337682	325700	321082	331104	335419	335409	329957	331246	325418	312367	297394	277522	258373	243663	238659	241603	244609	232638	220274	214321	217830	214814	205563	195694	189155	180924	184236	178933	173742	162573	152101	150685
1,601 cc To 2,000 cc	177676	181326	182551	180982	179104	175793	171499	165042	162791	164424	164768	162217	157846	153471	146836	138125	125730	114206	105201	99777	94372	90598	89052	87262	81333	78775	77343	73018	67726	61410	54083	47116	44223	39948	34420	30627	28435	28058
2,001 cc To 3,000 cc	71169	70789	70410	69630	71887	75718	81527	87832	93358	95251	95295	94712	92432	87986	83774	80415	74202	65332	58257	52371	45401	39778	34825	30961	26660	23816	22856	20815	18515	15950	13623	12446	11352	10291	9478	8745	8075	8292
3,001 cc & Above	14085	13911	13817	12745	13355	14688	16160	17862	19281	19641	19499	18742	16866	15115	13310	11771	9815	8139	6849	6316	6004	6061	6188	6376	6122	6122	6242	5817	5070	3953	3110	2247	1501	1303	1187	1124	1062	1113

Column legend

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	-
2014	2014	Numeric	Number	-
2013	2013	Numeric	Number	-
2012	2012	Numeric	Number	-
2011	2011	Numeric	Number	-
2010	2010	Numeric	Number	-
2009	2009	Numeric	Number	-
2008	2008	Numeric	Number	-
2007	2007	Numeric	Number	-
2006	2006	Numeric	Number	-
2005	2005	Numeric	Number	-
2004	2004	Numeric	Number	-
2003	2003	Numeric	Number	-
2002	2002	Numeric	Number	-
2001	2001	Numeric	Number	-
2000	2000	Numeric	Number	-
1999	1999	Numeric	Number	-
1998	1998	Numeric	Number	-
1997	1997	Numeric	Number	-
1996	1996	Numeric	Number	-
1995	1995	Numeric	Number	-
1994	1994	Numeric	Number	-
1993	1993	Numeric	Number	-
1992	1992	Numeric	Number	-
1991	1991	Numeric	Number	-
1990	1990	Numeric	Number	-
1989	1989	Numeric	Number	-
1988	1988	Numeric	Number	-
1987	1987	Numeric	Number	-
1986	1986	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_d9ab55b63f74e9f785a10a7b8f62ae12"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Data explorer

CarPopulationByCCRatingEndOfPeriodAnnual.csv (6 rows, 2.2 KB)

Column legend

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Sample OpenAPI query

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