Skip to content
D

Resident Working Persons Aged 15 Years and Over by Usual Mode of Transport to Work, Highest Qualification Attained and Sex (Census of Population 2000)

What this data shows

Published by Singapore Department of Statistics. 15 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (28 columns in total). Last updated 2026-09-16.

Description

Census of Population 2000 employed residents aged 15 and over by usual mode of transport to work, highest qualification attained, and sex. SingStat CSV enables commuting-mode analysis and education gradients in travel behaviour for Singapore’s 2000 benchmark.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 13/10/2015 Update Frequency: 10 years Survey period: Census of Population 2000 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/6391

Last updated
Rows
15
Columns
28

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (No Qualification) Total (No Qualification) Males (No Qualification) Females (Primary) Total (Primary) Males (Primary) Females (Lower Secondary) Total (Lower Secondary) Males
Total 1482579.000000 889482.000000 593097.000000 141973.000000 87075.000000 54898.000000 144106.000000 97808.000000 46298.000000 160567.000000 109530.000000
No Transport Required 90298.000000 52247.000000 38050.000000 18237.000000 9113.000000 9124.000000 15097.000000 9051.000000 6046.000000 15762.000000 10849.000000
One Mode Of Transport 1086999.000000 679634.000000 407365.000000 105306.000000 66675.000000 38631.000000 109070.000000 76066.000000 33004.000000 119855.000000 83618.000000
Public Bus Only 370062.000000 182951.000000 187111.000000 52287.000000 27289.000000 24998.000000 45155.000000 26148.000000 19007.000000 44777.000000 25445.000000
Private Chartered Bus/Van Only 98784.000000 60313.000000 38471.000000 13272.000000 7600.000000 5672.000000 15852.000000 9841.000000 6011.000000 15815.000000 10443.000000
MRT Only 127838.000000 58896.000000 68942.000000 6472.000000 3596.000000 2876.000000 8084.000000 4848.000000 3236.000000 10846.000000 5866.000000
Car Only 351553.000000 255094.000000 96460.000000 13740.000000 10697.000000 3043.000000 17437.000000 14236.000000 3201.000000 26367.000000 21313.000000
Taxi Only 18412.000000 9180.000000 9232.000000 1177.000000 543.000000 634.000000 989.000000 572.000000 417.000000 1252.000000 704.000000
Lorry/Pickup Only 31689.000000 30156.000000 1533.000000 6359.000000 5916.000000 443.000000 7462.000000 7135.000000 327.000000 6716.000000 6486.000000
Motorcycle/Scooter Only 70865.000000 68367.000000 2498.000000 7766.000000 7461.000000 304.000000 10301.000000 10012.000000 288.000000 11603.000000 11252.000000

Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.

Columns

Column Type Categorical
Number Text No
(Total) Total Numeric No
(Total) Males Numeric No
(Total) Females Numeric No
(No Qualification) Total Numeric No
(No Qualification) Males Numeric No
(No Qualification) Females Numeric No
(Primary) Total Numeric No
(Primary) Males Numeric No
(Primary) Females Numeric No
(Lower Secondary) Total Numeric No
(Lower Secondary) Males Numeric No
(Lower Secondary) Females Numeric No
(Secondary) Total Numeric No
(Secondary) Males Numeric No
(Secondary) Females Numeric No
(Upper Secondary) Total Numeric No
(Upper Secondary) Males Numeric No
(Upper Secondary) Females Numeric No
(Polytechnic) Total Numeric No
(Polytechnic) Males Numeric No
(Polytechnic) Females Numeric No
(Other Diploma) Total Numeric No
(Other Diploma) Males Numeric No
(Other Diploma) Females Numeric No
(University) Total Numeric No
(University) Males Numeric No
(University) Females Numeric No