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CSV Singapore Department of Statistics

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

Description

Annual end-of-period car population in Singapore by engine capacity (CC) rating band, compiled by the Singapore Department of Statistics from Land Transport Authority data from 1986 onward. Excludes taxis and tax-exempt vehicles per footnotes. Transport and environmental analysts study fleet composition, ownership trends, and vehicle taxation categories.

Official description

Source: LAND TRANSPORT AUTHORITY Data Last Updated: 01/04/2026 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

Download CSV View on data.gov.sg
Last updated
Coverage
1986-01-01 – 2025-12-31
Rows
6
Columns
41

Chart

Values are summed where multiple rows share the same category.

Data

Data Series 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986
Total 659889.000000 657744.000000 651302.000000 650667.000000 645150.000000 634042.000000 630596.000000 615452.000000 612256.000000 601257.000000 602311.000000 616609.000000 621345.000000 617570.000000 603723.000000 595185.000000 576988.000000 550455.000000 514685.000000 472308.000000 438194.000000 417103.000000 405328.000000 404274.000000 405354.000000 392961.000000 382941.000000 375217.000000 377365.000000 365558.000000 345432.000000 324026.000000 306216.000000 287612.000000 285298.000000 272475.000000 258537.000000 238984.000000 223456.000000 221945.000000
1,000 cc & Below 58140.000000 34670.000000 20284.000000 14386.000000 10423.000000 9424.000000 8268.000000 6444.000000 5388.000000 4821.000000 5799.000000 6189.000000 6364.000000 6490.000000 6622.000000 7367.000000 7650.000000 7777.000000 7544.000000 7109.000000 9514.000000 14976.000000 20892.000000 26234.000000 30680.000000 35724.000000 48552.000000 52183.000000 53094.000000 51094.000000 48558.000000 47019.000000 46245.000000 44879.000000 43986.000000 42000.000000 39710.000000 35915.000000 33783.000000 33797.000000
1,001 cc To 1,600 cc 350188.000000 362967.000000 368088.000000 370255.000000 367949.000000 361261.000000 357982.000000 342809.000000 337682.000000 325700.000000 321082.000000 331104.000000 335419.000000 335409.000000 329957.000000 331246.000000 325418.000000 312367.000000 297394.000000 277522.000000 258373.000000 243663.000000 238659.000000 241603.000000 244609.000000 232638.000000 220274.000000 214321.000000 217830.000000 214814.000000 205563.000000 195694.000000 189155.000000 180924.000000 184236.000000 178933.000000 173742.000000 162573.000000 152101.000000 150685.000000
1,601 cc To 2,000 cc 169481.000000 175355.000000 177676.000000 181326.000000 182551.000000 180982.000000 179104.000000 175793.000000 171499.000000 165042.000000 162791.000000 164424.000000 164768.000000 162217.000000 157846.000000 153471.000000 146836.000000 138125.000000 125730.000000 114206.000000 105201.000000 99777.000000 94372.000000 90598.000000 89052.000000 87262.000000 81333.000000 78775.000000 77343.000000 73018.000000 67726.000000 61410.000000 54083.000000 47116.000000 44223.000000 39948.000000 34420.000000 30627.000000 28435.000000 28058.000000
2,001 cc To 3,000 cc 68319.000000 70819.000000 71169.000000 70789.000000 70410.000000 69630.000000 71887.000000 75718.000000 81527.000000 87832.000000 93358.000000 95251.000000 95295.000000 94712.000000 92432.000000 87986.000000 83774.000000 80415.000000 74202.000000 65332.000000 58257.000000 52371.000000 45401.000000 39778.000000 34825.000000 30961.000000 26660.000000 23816.000000 22856.000000 20815.000000 18515.000000 15950.000000 13623.000000 12446.000000 11352.000000 10291.000000 9478.000000 8745.000000 8075.000000 8292.000000
3,001 cc & Above 13761.000000 13933.000000 14085.000000 13911.000000 13817.000000 12745.000000 13355.000000 14688.000000 16160.000000 17862.000000 19281.000000 19641.000000 19499.000000 18742.000000 16866.000000 15115.000000 13310.000000 11771.000000 9815.000000 8139.000000 6849.000000 6316.000000 6004.000000 6061.000000 6188.000000 6376.000000 6122.000000 6122.000000 6242.000000 5817.000000 5070.000000 3953.000000 3110.000000 2247.000000 1501.000000 1303.000000 1187.000000 1124.000000 1062.000000 1113.000000

Columns

Column Type Categorical
Data Series Text No
2025 Numeric No
2024 Numeric No
2023 Numeric No
2022 Numeric No
2021 Numeric No
2020 Numeric No
2019 Numeric No
2018 Numeric No
2017 Numeric No
2016 Numeric No
2015 Numeric No
2014 Numeric No
2013 Numeric No
2012 Numeric No
2011 Numeric No
2010 Numeric No
2009 Numeric No
2008 Numeric No
2007 Numeric No
2006 Numeric No
2005 Numeric No
2004 Numeric No
2003 Numeric No
2002 Numeric No
2001 Numeric No
2000 Numeric No
1999 Numeric No
1998 Numeric No
1997 Numeric No
1996 Numeric No
1995 Numeric No
1994 Numeric No
1993 Numeric No
1992 Numeric No
1991 Numeric No
1990 Numeric No
1989 Numeric No
1988 Numeric No
1987 Numeric No
1986 Numeric No