Employed Residents Aged 15 Years and Over by Occupation, Travelling Time to Work and Sex (Census of Population 2020)
Description
This Singapore Department of Statistics dataset presents employed residents aged 15 years and over from the Census of Population 2020, organized by occupation, travelling time to work, and sex. It supports analysis of how commuting duration varies across occupational groups and between male and female employed residents in Singapore. The reference period is the 2020 population census, and the dataset is published on a 10-year update cycle; the official note does not specify any additional geographic breakdown beyond the Singapore context. Data exclude employed persons who were full-time students, overseas for at least six months, or working from their place of residence. Full-time students are instead covered in tables on usual transport to school. Useful for research on Singapore commuting patterns, travel-to-work time, occupation-based mobility, gender differences in employment-related travel, workforce demographics, and Census of Population 2020 comparisons.
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/17614
- Last updated
- Rows
- 10
- 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 | (31 - 45 mins) Females | (46 - 60 mins) Total | (46 - 60 mins) Males | (46 - 60 mins) Females | (More than 60 mins) Total | (More than 60 mins) Males | (More than 60 mins) Females |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 2108482.000000 | 1130265.000000 | 978218.000000 | 298425.000000 | 180380.000000 | 118045.000000 | 692713.000000 | 385063.000000 | 307650.000000 | 483819.000000 | 248275.000000 | 235544.000000 | 436693.000000 | 213739.000000 | 222953.000000 | 196833.000000 | 102807.000000 | 94025.000000 |
| Legislators, Senior Officials & Managers | 335058.000000 | 205246.000000 | 129812.000000 | 45156.000000 | 29044.000000 | 16111.000000 | 140138.000000 | 90140.000000 | 49998.000000 | 79441.000000 | 48195.000000 | 31246.000000 | 51291.000000 | 28060.000000 | 23231.000000 | 19032.000000 | 9807.000000 | 9225.000000 |
| Professionals | 497728.000000 | 247322.000000 | 250406.000000 | 44295.000000 | 20781.000000 | 23514.000000 | 163754.000000 | 83547.000000 | 80207.000000 | 126064.000000 | 63837.000000 | 62227.000000 | 114173.000000 | 54784.000000 | 59388.000000 | 49443.000000 | 24372.000000 | 25071.000000 |
| Associate Professionals & Technicians | 419036.000000 | 215880.000000 | 203157.000000 | 34080.000000 | 17592.000000 | 16488.000000 | 131535.000000 | 72570.000000 | 58964.000000 | 103504.000000 | 52415.000000 | 51089.000000 | 101816.000000 | 48770.000000 | 53045.000000 | 48102.000000 | 24532.000000 | 23570.000000 |
| Clerical Support Workers | 201320.000000 | 45710.000000 | 155611.000000 | 16404.000000 | 3882.000000 | 12522.000000 | 55939.000000 | 14469.000000 | 41470.000000 | 52184.000000 | 11077.000000 | 41108.000000 | 52909.000000 | 11005.000000 | 41904.000000 | 23884.000000 | 5277.000000 | 18607.000000 |
| Service & Sales Workers | 244331.000000 | 111257.000000 | 133074.000000 | 42949.000000 | 16648.000000 | 26301.000000 | 79670.000000 | 37607.000000 | 42064.000000 | 52523.000000 | 23696.000000 | 28827.000000 | 49287.000000 | 23280.000000 | 26007.000000 | 19901.000000 | 10026.000000 | 9875.000000 |
| Craftsmen & Related Trades Workers | 59544.000000 | 51523.000000 | 8021.000000 | 6600.000000 | 5202.000000 | 1398.000000 | 22796.000000 | 20280.000000 | 2516.000000 | 13297.000000 | 11491.000000 | 1807.000000 | 11455.000000 | 9788.000000 | 1667.000000 | 5396.000000 | 4762.000000 | 634.000000 |
| Plant & Machine Operators & Assemblers | 146642.000000 | 131155.000000 | 15487.000000 | 76526.000000 | 71873.000000 | 4652.000000 | 34343.000000 | 29922.000000 | 4421.000000 | 15799.000000 | 13070.000000 | 2729.000000 | 13910.000000 | 11225.000000 | 2685.000000 | 6064.000000 | 5064.000000 | 1000.000000 |
| Cleaners, Labourers & Related Workers | 148808.000000 | 68046.000000 | 80762.000000 | 29571.000000 | 12612.000000 | 16959.000000 | 49289.000000 | 21998.000000 | 27291.000000 | 29255.000000 | 13175.000000 | 16081.000000 | 28831.000000 | 14091.000000 | 14740.000000 | 11862.000000 | 6170.000000 | 5692.000000 |
| Others1/ | 56016.000000 | 54127.000000 | 1889.000000 | 2845.000000 | 2745.000000 | 100.000000 | 15249.000000 | 14530.000000 | 719.000000 | 11751.000000 | 11320.000000 | 431.000000 | 13022.000000 | 12736.000000 | 286.000000 | 13149.000000 | 12797.000000 | 352.000000 |
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 |