Resident Working Persons Aged 15 Years and Over by Monthly Income from Work, Duration in Present Job and Sex (Census of Population 2000)
What this data shows
Published by Singapore Department of Statistics. 14 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (25 columns in total). Last updated 2026-09-21.
Description
From the Census of Population 2000, this Singapore Department of Statistics table cross-tabulates resident working persons aged 15 years and over by monthly income from work, how long they had been in their present job, and sex. Income bands begin below $500 and rise in steps, while job-duration groups run from less than one year through 1 year, 2-3, 4-5, 6-10, 11-15 and more than 15 years, each split into total, male and female counts. The census counted about 1.48 million resident working persons in total. Income figures have since been revised to include employers' Additional MediSave Contributions, making the series a useful historical baseline for studies of job tenure, earnings and gender pay gaps.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 09/07/2026 Update Frequency: 10 years Survey period: Census of Population 2000 Footnotes: Note: Data on income from work have been updated to include Additional MediSave Contributions from employers with the release of the Key Household Income Trends 2025 report in February 2026. For more information, you may refer to the Technical Note on Household Income (https://go.gov.sg/khit2025-tech-note) which explains the concepts and components of our household income coverage. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8948
- Last updated
- Rows
- 14
- Columns
- 25
Chart
Values are summed where multiple rows share the same category.
Data
| Number | (Total) Total | (Total) Males | (Total) Females | (Less than 1 Year) Total | (Less than 1 Year) Males | (Less than 1 Year) Females | (1 Year) Total | (1 Year) Males | (1 Year) Females | (2 - 3 Years) Total | (2 - 3 Years) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 1482579.000000 | 889482.000000 | 593097.000000 | 186186.000000 | 103510.000000 | 82676.000000 | 213400.000000 | 124905.000000 | 88495.000000 | 274933.000000 | 158283.000000 |
| Below 500 | 50037.000000 | 39074.000000 | 10962.000000 | 10363.000000 | 8269.000000 | 2094.000000 | 17522.000000 | 15808.000000 | 1715.000000 | 13008.000000 | 11303.000000 |
| 500 - 999 | 99398.000000 | 47338.000000 | 52060.000000 | 19553.000000 | 7757.000000 | 11796.000000 | 17484.000000 | 7051.000000 | 10433.000000 | 19343.000000 | 8242.000000 |
| 1,000 - 1,499 | 196190.000000 | 100629.000000 | 95561.000000 | 39320.000000 | 18948.000000 | 20372.000000 | 34076.000000 | 15870.000000 | 18206.000000 | 36301.000000 | 16783.000000 |
| 1,500 - 1,999 | 206070.000000 | 114911.000000 | 91159.000000 | 34169.000000 | 18628.000000 | 15542.000000 | 35784.000000 | 18949.000000 | 16835.000000 | 40023.000000 | 21224.000000 |
| 2,000 - 2,999 | 341592.000000 | 197616.000000 | 143976.000000 | 38667.000000 | 21413.000000 | 17254.000000 | 48801.000000 | 27398.000000 | 21403.000000 | 65727.000000 | 36090.000000 |
| 3,000 - 3,999 | 225933.000000 | 141623.000000 | 84310.000000 | 19720.000000 | 11930.000000 | 7790.000000 | 26857.000000 | 16824.000000 | 10033.000000 | 40746.000000 | 24235.000000 |
| 4,000 - 4,999 | 117088.000000 | 74949.000000 | 42139.000000 | 8532.000000 | 5321.000000 | 3211.000000 | 11751.000000 | 7775.000000 | 3976.000000 | 21847.000000 | 13762.000000 |
| 5,000 - 5,999 | 72640.000000 | 48577.000000 | 24062.000000 | 5049.000000 | 3448.000000 | 1601.000000 | 6479.000000 | 4552.000000 | 1927.000000 | 12101.000000 | 8018.000000 |
| 6,000 - 6,999 | 48440.000000 | 32074.000000 | 16366.000000 | 3053.000000 | 2071.000000 | 982.000000 | 4051.000000 | 2752.000000 | 1299.000000 | 7583.000000 | 5120.000000 |
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 |
| (Less than 1 Year) Total | Numeric | No |
| (Less than 1 Year) Males | Numeric | No |
| (Less than 1 Year) Females | Numeric | No |
| (1 Year) Total | Numeric | No |
| (1 Year) Males | Numeric | No |
| (1 Year) Females | Numeric | No |
| (2 - 3 Years) Total | Numeric | No |
| (2 - 3 Years) Males | Numeric | No |
| (2 - 3 Years) Females | Numeric | No |
| (4 - 5 Years) Total | Numeric | No |
| (4 - 5 Years) Males | Numeric | No |
| (4 - 5 Years) Females | Numeric | No |
| (6 - 10 Years) Total | Numeric | No |
| (6 - 10 Years) Males | Numeric | No |
| (6 - 10 Years) Females | Numeric | No |
| (11 - 15 Years) Total | Numeric | No |
| (11 - 15 Years) Males | Numeric | No |
| (11 - 15 Years) Females | Numeric | No |
| (More than 15 Years) Total | Numeric | No |
| (More than 15 Years) Males | Numeric | No |
| (More than 15 Years) Females | Numeric | No |