Resident Working Persons Aged 15 Years and Over by Occupation, Number of Hours Worked and Sex (Census of Population 2000)
What this data shows
Published by Singapore Department of Statistics. 11 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (31 columns in total). Last updated 2026-09-22.
Description
Census 2000 tables profile resident working persons aged 15 and over by occupation, usual hours worked, and sex. SingStat’s CSV offers detailed cross-tabulations for labour force structure, work intensity, and gender differences in employment circa 2000. Supports historical workforce research and Singapore census occupation statistics.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 31/03/2016 Update Frequency: 10 years Survey period: Census of Population 2000 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8981
- Last updated
- Rows
- 11
- Columns
- 31
Chart
Values are summed where multiple rows share the same category.
Data
| Number | (Total) Total | (Total) Males | (Total) Females | (Below 30) Total | (Below 30) Males | (Below 30) Females | (30 - 34) Total | (30 - 34) Males | (30 - 34) Females | (35 - 39) Total | (35 - 39) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 1482579.000000 | 889482.000000 | 593097.000000 | 63191.000000 | 26487.000000 | 36705.000000 | 27432.000000 | 13387.000000 | 14045 | 31085.000000 | 14146.000000 |
| Senior Officials & Managers | 211835.000000 | 158980.000000 | 52855.000000 | 5653.000000 | 3545.000000 | 2107.000000 | 2268.000000 | 1485.000000 | 783 | 2388.000000 | 1538.000000 |
| Professionals | 150265.000000 | 86375.000000 | 63890.000000 | 4968.000000 | 1807.000000 | 3161.000000 | 2414.000000 | 878.000000 | 1536 | 3385.000000 | 1488.000000 |
| Associate Professionals & Technicians | 283361.000000 | 153928.000000 | 129433.000000 | 11942.000000 | 4322.000000 | 7620.000000 | 5042.000000 | 1865.000000 | 3176 | 5724.000000 | 2617.000000 |
| Clerical Workers | 213588.000000 | 49485.000000 | 164103.000000 | 8611.000000 | 1114.000000 | 7497.000000 | 2623.000000 | 454.000000 | 2169 | 4039.000000 | 758.000000 |
| Service & Sales Workers | 182966.000000 | 106867.000000 | 76099.000000 | 10934.000000 | 3816.000000 | 7118.000000 | 5156.000000 | 1913.000000 | 3243 | 4880.000000 | 2205.000000 |
| Agricultural & Fishery Workers | 1158.000000 | 1034.000000 | 124.000000 | 53.000000 | 39.000000 | 14.000000 | 29.000000 | 29.000000 | na | 29.000000 | 29.000000 |
| Production Craftsmen & Related Workers | 106753.000000 | 97569.000000 | 9184.000000 | 3749.000000 | 3154.000000 | 595.000000 | 2156.000000 | 1978.000000 | 178 | 1549.000000 | 1270.000000 |
| Plant & Machine Operators & Assemblers | 178752.000000 | 130437.000000 | 48315.000000 | 5620.000000 | 3999.000000 | 1621.000000 | 2946.000000 | 2251.000000 | 695 | 5007.000000 | 2250.000000 |
| Cleaners, Labourers & Related Workers | 101149.000000 | 54279.000000 | 46870.000000 | 11273.000000 | 4335.000000 | 6938.000000 | 4683.000000 | 2438.000000 | 2245 | 3839.000000 | 1753.000000 |
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 |
| (Below 30) Total | Numeric | No |
| (Below 30) Males | Numeric | No |
| (Below 30) Females | Numeric | No |
| (30 - 34) Total | Numeric | No |
| (30 - 34) Males | Numeric | No |
| (30 - 34) Females | Text | No |
| (35 - 39) Total | Numeric | No |
| (35 - 39) Males | Numeric | No |
| (35 - 39) Females | Text | No |
| (40 - 44) Total | Numeric | No |
| (40 - 44) Males | Numeric | No |
| (40 - 44) Females | Numeric | No |
| (45 - 49) Total | Numeric | No |
| (45 - 49) Males | Numeric | No |
| (45 - 49) Females | Numeric | No |
| (50 - 54) Total | Numeric | No |
| (50 - 54) Males | Numeric | No |
| (50 - 54) Females | Numeric | No |
| (55 - 59) Total | Numeric | No |
| (55 - 59) Males | Numeric | No |
| (55 - 59) Females | Numeric | No |
| (60 - 64) Total | Numeric | No |
| (60 - 64) Males | Numeric | No |
| (60 - 64) Females | Text | No |
| (65 & Over) Total | Numeric | No |
| (65 & Over) Males | Numeric | No |
| (65 & Over) Females | Numeric | No |