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Resident Working Persons Aged 15 Years and Over by Usual Mode of Transport to Work, Highest Qualification Attained and Sex (General Household Survey 2015)

What this data shows

Published by Singapore Department of Statistics. 12 records. Fields include Thousands, (Total) Total, (Total) Males, (Total) Females (28 columns in total). Last updated 2026-09-04.

Description

General Household Survey 2015 table on resident workers aged 15 and over in Singapore, showing usual transport mode to work cross-classified by highest qualification attained (from no qualification through university) and sex, in thousands. Supports studies linking education, gender, and commuting behaviour. Adapted from SingStat TableBuilder CT/8348.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 30/06/2026 Update Frequency: 10 years Survey period: General Household Survey 2015 Footnotes: Note: Data exclude working persons who were full-time students or overseas for more than 6 months. Full-time students are covered in the tables on usual transport to school. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8348

Last updated
Rows
12
Columns
28

Chart

Values are summed where multiple rows share the same category.

Data

Thousands (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 2113.900000 1157.600000 956.300000 127.600000 68.700000 58.900000 114.700000 67.000000 47.700000 150.100000 90.900000
Public Bus Only 347.300000 152.400000 194.900000 38.000000 16.300000 21.600000 30.400000 14.000000 16.400000 31.800000 14.800000
MRT Only 252.000000 108.300000 143.700000 9.700000 4.500000 5.300000 8.700000 4.100000 4.600000 12.700000 5.800000
MRT & Public Bus Only 517.400000 245.800000 271.600000 21.000000 9.800000 11.300000 19.700000 9.800000 9.900000 28.600000 14.300000
Other combinations of MRT or Public Bus 113.500000 57.300000 56.200000 4.300000 2.100000 2.200000 3.500000 1.900000 1.600000 4.700000 2.300000
Taxi Only 28.400000 15.000000 13.400000 1.100000 0.900000 0.300000 1.700000 0.900000 0.700000 1.300000 0.900000
Car Only 469.400000 319.300000 150.100000 10.300000 7.500000 2.800000 12.500000 9.400000 3.100000 20.800000 15.400000
Private Chartered Bus/Van Only 58.100000 36.900000 21.200000 4.300000 3.000000 1.300000 3.900000 2.600000 1.300000 7.500000 5.600000
Lorry/Pickup Only 42.800000 38.400000 4.400000 7.100000 6.300000 0.800000 6.500000 6.000000 0.600000 7.800000 7.000000
Motorcycle/Scooter Only 72.900000 68.500000 4.400000 5.700000 5.400000 0.200000 5.700000 5.500000 0.100000 7.400000 7.000000

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

Columns

Column Type Categorical
Thousands 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
(Post-Secondary (Non-Tertiary)) Total Numeric No
(Post-Secondary (Non-Tertiary)) Males Numeric No
(Post-Secondary (Non-Tertiary)) Females Numeric No
(Polytechnic) Total Numeric No
(Polytechnic) Males Numeric No
(Polytechnic) Females Numeric No
(Professional Qualification and Other Diploma) Total Numeric No
(Professional Qualification and Other Diploma) Males Numeric No
(Professional Qualification and Other Diploma) Females Numeric No
(University) Total Numeric No
(University) Males Numeric No
(University) Females Numeric No