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Employed Residents Aged 15 Years and Over by Industry, Travelling Time to Work and Sex (Census of Population 2020)

What this data shows

Published by Singapore Department of Statistics. 17 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (19 columns in total). Last updated 2026-09-07.

Description

Census of Population 2020 table from the Singapore Department of Statistics counting employed residents aged 15 and over by industry, travelling time to work, and sex. Commute bands run from up to 15 minutes through more than 60 minutes, each split by total, male, and female. Transport planners and labour researchers use it to see which industries face the longest journeys to work in Singapore. Full-time students, those overseas for at least six months, and people working from home are excluded. Adapted from SingStat TableBuilder CT/17633.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 30/06/2026 Update Frequency: 10 years Survey period: Census of Population 2020 Footnotes: Note: Data exclude employed persons who were full-time students, overseas for at least 6 months, or working at their place of residence. Full-time students are covered in the tables on usual transport to school. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17633

Last updated
Rows
17
Columns
19

Chart

Values are summed where multiple rows share the same category.

Data

Number (Total) Total (Total) Males (Total) Females (Up to 15 mins) Total (Up to 15 mins) Males (Up to 15 mins) Females (16 - 30 mins) Total (16 - 30 mins) Males (16 - 30 mins) Females (31 - 45 mins) Total (31 - 45 mins) Males
Total 2108482.000000 1130265.000000 978218.000000 298425.000000 180380.000000 118045.000000 692713.000000 385063.000000 307650.000000 483819.000000 248275.000000
Manufacturing 213353.000000 135399.000000 77954.000000 21989.000000 14085.000000 7905.000000 72138.000000 47033.000000 25105.000000 49842.000000 31614.000000
Construction 86769.000000 61334.000000 25435.000000 10189.000000 7422.000000 2766.000000 34507.000000 25716.000000 8791.000000 19307.000000 13620.000000
Services 1788336.000000 919255.000000 869080.000000 264441.000000 157456.000000 106985.000000 579268.000000 306980.000000 272287.000000 409702.000000 199696.000000
Wholesale & Retail Trade 308963.000000 154037.000000 154926.000000 43297.000000 22643.000000 20654.000000 107605.000000 59262.000000 48343.000000 70886.000000 34149.000000
Transportation & Storage 205714.000000 155875.000000 49839.000000 79196.000000 71444.000000 7752.000000 50291.000000 36646.000000 13645.000000 31353.000000 20363.000000
Accommodation & Food Services 127477.000000 55371.000000 72106.000000 25579.000000 10262.000000 15317.000000 42336.000000 18509.000000 23827.000000 25563.000000 11066.000000
Information & Communications 99041.000000 57862.000000 41179.000000 6461.000000 4147.000000 2314.000000 29208.000000 18136.000000 11071.000000 27381.000000 15662.000000
Financial & Insurance Services 195947.000000 92222.000000 103724.000000 13263.000000 7294.000000 5969.000000 64196.000000 32913.000000 31284.000000 54682.000000 25524.000000
Real Estate Services 49739.000000 25191.000000 24547.000000 4774.000000 2431.000000 2343.000000 18564.000000 9953.000000 8612.000000 12342.000000 6224.000000

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
(Up to 15 mins) Total Numeric No
(Up to 15 mins) Males Numeric No
(Up to 15 mins) Females Numeric No
(16 - 30 mins) Total Numeric No
(16 - 30 mins) Males Numeric No
(16 - 30 mins) Females Numeric No
(31 - 45 mins) Total Numeric No
(31 - 45 mins) Males Numeric No
(31 - 45 mins) Females Numeric No
(46 - 60 mins) Total Numeric No
(46 - 60 mins) Males Numeric No
(46 - 60 mins) Females Numeric No
(More than 60 mins) Total Numeric No
(More than 60 mins) Males Numeric No
(More than 60 mins) Females Numeric No