Employed Residents Aged 15 Years and Over by Usual Hours Worked, Employment Status and Sex (Census of Population 2020)
What this data shows
Published by Singapore Department of Statistics. 10 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (16 columns in total). Last updated 2026-09-06.
Description
Census of Population 2020 table on employed Singapore residents aged 15 and over, cross-classifying counts by usual hours worked, employment status (employer, own-account worker, employee, contributing family worker), and sex. Excludes national servicemen per SingStat footnotes. Labour economists study work intensity, self-employment, and gender gaps using the official CSV adapted from TableBuilder CT/17544.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 18/06/2021 Update Frequency: 10 years Survey period: Census of Population 2020 Footnotes: Note: Data exclude national servicemen. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17544
- Last updated
- Rows
- 10
- Columns
- 16
Chart
Values are summed where multiple rows share the same category.
Data
| Number | (Total) Total | (Total) Males | (Total) Females | (Employers) Total | (Employers) Males | (Employers) Females | (Own Account Workers) Total | (Own Account Workers) Males | (Own Account Workers) Females | (Employees) Total | (Employees) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 2166462.000000 | 1136535.000000 | 1029927.000000 | 102846.000000 | 71899.000000 | 30946.000000 | 206755.000000 | 144759.000000 | 61996.000000 | 1849397.000000 | 917169.000000 |
| Below 30 | 165802.000000 | 61430.000000 | 104372.000000 | 7388.000000 | 3723.000000 | 3665.000000 | 40206.000000 | 21236.000000 | 18970.000000 | 114920.000000 | 35369.000000 |
| 30 - 34 | 60712.000000 | 26045.000000 | 34667.000000 | 3030.000000 | 1426.000000 | 1604.000000 | 15084.000000 | 9983.000000 | 5101.000000 | 41875.000000 | 14385.000000 |
| 35 - 39 | 124281.000000 | 61295.000000 | 62987.000000 | 9905.000000 | 6257.000000 | 3648.000000 | 22686.000000 | 14613.000000 | 8073.000000 | 91129.000000 | 40212.000000 |
| 40 - 44 | 1075204.000000 | 534364.000000 | 540840.000000 | 39974.000000 | 28574.000000 | 11400.000000 | 47283.000000 | 33095.000000 | 14189.000000 | 987021.000000 | 472298.000000 |
| 45 - 49 | 341446.000000 | 190827.000000 | 150619.000000 | 13277.000000 | 10020.000000 | 3256.000000 | 17983.000000 | 13381.000000 | 4602.000000 | 309669.000000 | 167135.000000 |
| 50 - 54 | 178801.000000 | 108007.000000 | 70794.000000 | 10821.000000 | 8124.000000 | 2697.000000 | 15603.000000 | 11730.000000 | 3873.000000 | 152081.000000 | 88076.000000 |
| 55 - 59 | 49246.000000 | 32271.000000 | 16976.000000 | 3244.000000 | 2329.000000 | 915.000000 | 8070.000000 | 6594.000000 | 1476.000000 | 37752.000000 | 23293.000000 |
| 60 - 64 | 93136.000000 | 63135.000000 | 30002.000000 | 7723.000000 | 5751.000000 | 1973.000000 | 15058.000000 | 12626.000000 | 2433.000000 | 69978.000000 | 44601.000000 |
| 65 & Over | 77833.000000 | 59162.000000 | 18671.000000 | 7484.000000 | 5696.000000 | 1788.000000 | 24781.000000 | 21500.000000 | 3281.000000 | 44972.000000 | 31799.000000 |
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 |
| (Employers) Total | Numeric | No |
| (Employers) Males | Numeric | No |
| (Employers) Females | Numeric | No |
| (Own Account Workers) Total | Numeric | No |
| (Own Account Workers) Males | Numeric | No |
| (Own Account Workers) Females | Numeric | No |
| (Employees) Total | Numeric | No |
| (Employees) Males | Numeric | No |
| (Employees) Females | Numeric | No |
| (Contributing Family Workers) Total | Numeric | No |
| (Contributing Family Workers) Males | Numeric | No |
| (Contributing Family Workers) Females | Numeric | No |