Motor Vehicle Population By Type Of Vehicle (End Of Period), Annual

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Data from Jan 1961 to Dec 2023Updated 6 months ago

SINGSTAT (Singapore Department of Statistics)

Source: LAND TRANSPORT AUTHORITY

Data Last Updated: 30/01/2024

Update Frequency: Annual

Footnotes: Includes vehicles which are exempted from Vehicle Quota System and all other taxes.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M650391

Data explorer

MotorVehiclePopulationByTypeOfVehicleEndOfPeriodAnnual.csv (7 rows, 4 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	1985 Numeric	1984 Numeric	1983 Numeric	1982 Numeric	1981 Numeric	1980 Text	1979 Text	1978 Text	1977 Text	1976 Text	1975 Text	1974 Text	1973 Text	1972 Text	1971 Text	1970 Text	1969 Text	1968 Text	1967 Text	1966 Text	1965 Text	1964 Text	1963 Text	1962 Text	1961 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)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%	(Null)42.9%
Total	996732	995746	988755	973990	973101	957006	961842	956430	957246	972037	974170	969910	956704	945829	925518	894682	851336	799373	754992	727395	711043	706956	708370	692807	688811	681081	683204	668304	642129	611611	584322	557584	559304	542352	520537	491808	471124	473659	486760	491322	476288	440276	401805	371341	338729	309384	289954	279864	280378	276866	367737	337147	313907	290208	267582	246427	229544	211735	192422	171502	153004	133645	117936
Private & Company Cars	572014	580332	579369	565033	555540	551575	546706	552427	575353	600176	607292	605149	592361	584399	566608	540455	505987	465482	432827	412015	399923	398166	398787	386780	378024	370804	373345	362142	342245	321556	303864	285500	283746	271174	257371	237801	222487	220566	221279	217119	202092	179635	161692	152574	143402	137240	134903	135499	142045	142674	187972	168991	155956	142568	130088	121106	116097	113287	104729	95349	85668	77379	70108
Private Hire Cars	81754	72632	67990	71147	77141	66480	68083	51336	29369	18847	16396	14862	13919	13347	12763	12391	11054	9235	7756	7455	7803	8423	8857	8438	7112	6536	6152	5451	5144	4341	4141	3879	3665	3343	3135	3140	3081	3314	4030	4159	4168	4515	3506	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Taxis	13620	14084	14887	15678	18542	20581	23140	27534	28259	28736	27695	28210	27051	26073	24702	24300	24446	23334	22383	20407	19384	19106	18798	18327	18029	17886	16933	16857	16517	14750	13917	13445	12705	12239	10652	10473	10552	10677	10941	11062	10673	10283	9869	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na
Buses	18249	18239	18846	19251	19661	19379	19285	18804	18183	17554	17509	17162	17046	16309	16023	15327	14530	14120	13494	13173	12951	12992	12902	12569	11827	11429	11240	10998	10723	10198	9716	9658	9478	9448	9126	8924	8733	8638	8717	8283	7985	7585	6950	6512	6217	5874	5442	5217	4935	4779	4775	2936	2681	2298	2096	1907	1821	1660	1617	1586	1492	1433	1375
Motorcycles & Scooters	143992	143092	142229	141403	140891	137480	141916	143052	143900	145026	144934	144110	146559	148160	147215	146120	144340	142736	139434	137029	135649	132318	131869	131937	134346	133375	132629	132344	129587	126156	119939	116532	122410	122525	120996	117570	116544	120387	127564	134693	141569	136899	127722	118345	108051	98248	89840	84016	83145	84849	122714	115619	109655	105214	99265	90283	80940	68746	60838	52412	44926	35336	28205
Goods & Other Vehicles	167103	167367	165434	161478	161326	161511	162712	163277	162182	161698	160344	160417	159768	157541	158207	156089	150979	144466	139098	137316	135333	135951	137157	134756	139473	141051	142905	140512	137913	134610	132745	128570	127300	123623	119257	113900	109727	110077	114229	116006	109801	101359	92066	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na	na

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	-
1985	1985	Numeric	Number	-
1984	1984	Numeric	Number	-
1983	1983	Numeric	Number	-
1982	1982	Numeric	Number	-
1981	1981	Numeric	Number	-
1980	1980	Text	Number	-
1979	1979	Text	Number	-
1978	1978	Text	Number	-
1977	1977	Text	Number	-
1976	1976	Text	Number	-
1975	1975	Text	Number	-
1974	1974	Text	Number	-
1973	1973	Text	Number	-
1972	1972	Text	Number	-
1971	1971	Text	Number	-
1970	1970	Text	Number	-
1969	1969	Text	Number	-
1968	1968	Text	Number	-
1967	1967	Text	Number	-
1966	1966	Text	Number	-
1965	1965	Text	Number	-
1964	1964	Text	Number	-
1963	1963	Text	Number	-
1962	1962	Text	Number	-
1961	1961	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_aa457c0abaacccefd238c31cfed211d9"
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). Motor Vehicle Population By Type Of Vehicle (End Of Period), Annual (2024) [Dataset]. data.gov.sg. Retrieved April 24, 2025 from https://data.gov.sg/datasets/d_aa457c0abaacccefd238c31cfed211d9/view

Data explorer

MotorVehiclePopulationByTypeOfVehicleEndOfPeriodAnnual.csv (7 rows, 4 KB)

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Analyse this dataset with Colab Notebook

Sample OpenAPI query

Citation

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