Resident Working Persons Aged 15 Years and Over by Industry, Travelling Time to Work and Sex (General Household Survey 2015)
What this data shows
Published by Singapore Department of Statistics. 17 records. Fields include Thousands, (Total) Total, (Total) Males, (Total) Females (19 columns in total). Last updated 2026-09-04.
Description
General Household Survey 2015 statistics on resident working persons aged 15 and over, in thousands by industry, travelling time to work bands (up to 15 minutes through longer intervals), and sex. Excludes students, long overseas stays, and home-based workers. Commute and industry researchers use SingStat CT/8347 for journey-to-work analysis in Singapore.
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, overseas for more than 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/8347
- Last updated
- Rows
- 17
- Columns
- 19
Chart
Values are summed where multiple rows share the same category.
Data
| Thousands | (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 | 2060.500000 | 1134.400000 | 926.000000 | 300.900000 | 173.900000 | 127.000000 | 714.700000 | 413.000000 | 301.800000 | 446.300000 | 236.500000 |
| Manufacturing | 233.300000 | 151.300000 | 82.000000 | 28.900000 | 18.500000 | 10.400000 | 87.700000 | 58.600000 | 29.100000 | 46.700000 | 30.100000 |
| Construction | 105.500000 | 78.800000 | 26.700000 | 12.800000 | 9.400000 | 3.400000 | 42.800000 | 33.300000 | 9.500000 | 23.200000 | 16.700000 |
| Services | 1699.300000 | 888.000000 | 811.300000 | 257.200000 | 144.500000 | 112.700000 | 575.200000 | 313.700000 | 261.500000 | 372.500000 | 186.800000 |
| Wholesale & Retail Trade | 343.500000 | 177.000000 | 166.500000 | 53.000000 | 26.700000 | 26.300000 | 125.900000 | 70.600000 | 55.300000 | 72.700000 | 37.300000 |
| Transportation & Storage | 183.800000 | 139.200000 | 44.700000 | 60.300000 | 53.800000 | 6.500000 | 51.400000 | 38.700000 | 12.800000 | 30.300000 | 19.900000 |
| Accommodation & Food Services | 132.200000 | 57.800000 | 74.400000 | 29.600000 | 11.600000 | 18.000000 | 45.700000 | 20.100000 | 25.600000 | 23.600000 | 10.800000 |
| Information & Communications | 77.500000 | 47.700000 | 29.800000 | 5.200000 | 3.300000 | 1.900000 | 24.300000 | 15.400000 | 8.900000 | 19.300000 | 12.900000 |
| Financial & Insurance Services | 162.800000 | 75.700000 | 87.100000 | 11.800000 | 6.600000 | 5.200000 | 55.000000 | 28.500000 | 26.500000 | 44.100000 | 19.700000 |
| Real Estate Services | 53.200000 | 26.400000 | 26.800000 | 6.700000 | 3.100000 | 3.600000 | 20.300000 | 11.000000 | 9.300000 | 12.000000 | 5.900000 |
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 |
| (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 |