Resident Working Persons Aged 15 Years and Over by Age Group, Marital Status, Sex and Ethnic Group (Census of Population 2010)
What this data shows
Published by Singapore Department of Statistics. 13 records. Fields include Number, [Total] (Total) Total, [Total] (Total) Males, [Total] (Total) Females (76 columns in total). Last updated 2026-09-18.
Description
Census of Population 2010 CSV cross-tabulation of resident working persons aged 15 and over by age group, marital status, sex, and ethnic group, published by the Singapore Department of Statistics. Counts support labour-force demography and ethnic or marital-status comparisons for Singapore’s employed residents. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8655
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 24/03/2016 Update Frequency: 10 years Survey period: Census of Population 2010 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8655
- Last updated
- Rows
- 13
- Columns
- 76
Chart
Values are summed where multiple rows share the same category.
Data
| Number | [Total] (Total) Total | [Total] (Total) Males | [Total] (Total) Females | [Total] (Single) Total | [Total] (Single) Males | [Total] (Single) Females | [Total] (Married) Total | [Total] (Married) Males | [Total] (Married) Females | [Total] (Widowed) Total | [Total] (Widowed) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 1898042.000000 | 1079563.000000 | 818480.000000 | 556473.000000 | 298504.000000 | 257969.000000 | 1240426.000000 | 745741.000000 | 494685.000000 | 28594 | 7354 |
| 15 - 19 | 30753.000000 | 19380.000000 | 11373.000000 | 30531.000000 | 19283.000000 | 11248.000000 | 222.000000 | 96.000000 | 125.000000 | na | na |
| 20 - 24 | 133636.000000 | 71687.000000 | 61949.000000 | 125688.000000 | 69211.000000 | 56477.000000 | 7283.000000 | 2342.000000 | 4940.000000 | 62 | 12 |
| 25 - 29 | 217032.000000 | 108521.000000 | 108512.000000 | 142280.000000 | 78087.000000 | 64193.000000 | 71999.000000 | 29650.000000 | 42350.000000 | 104 | 12 |
| 30 - 34 | 245200.000000 | 127962.000000 | 117238.000000 | 79589.000000 | 45045.000000 | 34544.000000 | 158866.000000 | 80351.000000 | 78515.000000 | 168 | 27 |
| 35 - 39 | 260721.000000 | 142813.000000 | 117908.000000 | 51298.000000 | 26640.000000 | 24658.000000 | 198271.000000 | 112172.000000 | 86099.000000 | 769 | 174 |
| 40 - 44 | 241914.000000 | 136759.000000 | 105155.000000 | 37026.000000 | 18320.000000 | 18706.000000 | 191548.000000 | 113713.000000 | 77835.000000 | 1445 | 293 |
| 45 - 49 | 246489.000000 | 144482.000000 | 102007.000000 | 32615.000000 | 16061.000000 | 16553.000000 | 198091.000000 | 122925.000000 | 75166.000000 | 2971 | 700 |
| 50 - 54 | 221690.000000 | 132549.000000 | 89140.000000 | 28260.000000 | 13078.000000 | 15182.000000 | 176128.000000 | 113505.000000 | 62623.000000 | 4762 | 1056 |
| 55 - 59 | 159262.000000 | 100761.000000 | 58502.000000 | 17279.000000 | 7366.000000 | 9913.000000 | 127581.000000 | 88578.000000 | 39003.000000 | 5783 | 1318 |
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) Total | Numeric | No |
| [Total] (Total) Males | Numeric | No |
| [Total] (Total) Females | Numeric | No |
| [Total] (Single) Total | Numeric | No |
| [Total] (Single) Males | Numeric | No |
| [Total] (Single) Females | Numeric | No |
| [Total] (Married) Total | Numeric | No |
| [Total] (Married) Males | Numeric | No |
| [Total] (Married) Females | Numeric | No |
| [Total] (Widowed) Total | Text | No |
| [Total] (Widowed) Males | Text | No |
| [Total] (Widowed) Females | Text | No |
| [Total] (Divorced/Separated) Total | Text | No |
| [Total] (Divorced/Separated) Males | Text | No |
| [Total] (Divorced/Separated) Females | Text | No |
| [Chinese] (Total) Total | Numeric | No |
| [Chinese] (Total) Males | Numeric | No |
| [Chinese] (Total) Females | Numeric | No |
| [Chinese] (Single) Total | Numeric | No |
| [Chinese] (Single) Males | Numeric | No |
| [Chinese] (Single) Females | Numeric | No |
| [Chinese] (Married) Total | Numeric | No |
| [Chinese] (Married) Males | Numeric | No |
| [Chinese] (Married) Females | Numeric | No |
| [Chinese] (Widowed) Total | Text | No |
| [Chinese] (Widowed) Males | Text | No |
| [Chinese] (Widowed) Females | Text | No |
| [Chinese] (Divorced/Separated) Total | Text | No |
| [Chinese] (Divorced/Separated) Males | Text | No |
| [Chinese] (Divorced/Separated) Females | Text | No |
| [Malays] (Total) Total | Numeric | No |
| [Malays] (Total) Males | Numeric | No |
| [Malays] (Total) Females | Numeric | No |
| [Malays] (Single) Total | Numeric | No |
| [Malays] (Single) Males | Numeric | No |
| [Malays] (Single) Females | Numeric | No |
| [Malays] (Married) Total | Numeric | No |
| [Malays] (Married) Males | Numeric | No |
| [Malays] (Married) Females | Numeric | No |
| [Malays] (Widowed) Total | Text | No |
| [Malays] (Widowed) Males | Text | No |
| [Malays] (Widowed) Females | Text | No |
| [Malays] (Divorced/Separated) Total | Text | No |
| [Malays] (Divorced/Separated) Males | Text | No |
| [Malays] (Divorced/Separated) Females | Text | No |
| [Indians] (Total) Total | Numeric | No |
| [Indians] (Total) Males | Numeric | No |
| [Indians] (Total) Females | Numeric | No |
| [Indians] (Single) Total | Numeric | No |
| [Indians] (Single) Males | Numeric | No |
| [Indians] (Single) Females | Text | No |
| [Indians] (Married) Total | Numeric | No |
| [Indians] (Married) Males | Numeric | No |
| [Indians] (Married) Females | Numeric | No |
| [Indians] (Widowed) Total | Text | No |
| [Indians] (Widowed) Males | Text | No |
| [Indians] (Widowed) Females | Text | No |
| [Indians] (Divorced/Separated) Total | Text | No |
| [Indians] (Divorced/Separated) Males | Text | No |
Showing the first 60 of 76 columns. Download the CSV for the full schema.