Residents Outside the Labour Force Aged 15 Years and Over by Age Group, Marital Status, Sex and Ethnic Group (Census of Population 2020)
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 2026-09-06.
Description
Census of Population 2020 residents outside the labour force aged 15 and over by age group, marital status, sex, and ethnic group, published by the Singapore Department of Statistics in CSV with single and married splits. Supports dependency, retirement, and non-employment demography research in Singapore.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 18/06/2021 Update Frequency: 10 years Survey period: Census of Population 2020 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17559
- 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 | 1115608.000000 | 417424.000000 | 698185.000000 | 390196.000000 | 197856.000000 | 192340.000000 | 551779.000000 | 187855.000000 | 363924.000000 | 138610 | 21249 |
| 15 - 19 | 186167.000000 | 92170.000000 | 93997.000000 | 186100.000000 | 92161.000000 | 93939.000000 | 67.000000 | 9.000000 | 58.000000 | - | - |
| 20 - 24 | 105000.000000 | 54074.000000 | 50927.000000 | 103286.000000 | 53863.000000 | 49423.000000 | 1646.000000 | 200.000000 | 1446.000000 | - | - |
| 25 - 29 | 29696.000000 | 16201.000000 | 13495.000000 | 22464.000000 | 15469.000000 | 6995.000000 | 6917.000000 | 705.000000 | 6213.000000 | - | - |
| 30 - 34 | 23049.000000 | 5309.000000 | 17740.000000 | 6789.000000 | 4012.000000 | 2777.000000 | 15833.000000 | 1191.000000 | 14642.000000 | 24 | - |
| 35 - 39 | 29419.000000 | 4374.000000 | 25045.000000 | 4298.000000 | 2156.000000 | 2142.000000 | 24415.000000 | 2081.000000 | 22334.000000 | 62 | 35 |
| 40 - 44 | 33998.000000 | 4686.000000 | 29312.000000 | 3954.000000 | 2162.000000 | 1791.000000 | 28977.000000 | 2264.000000 | 26713.000000 | 126 | - |
| 45 - 49 | 41532.000000 | 6787.000000 | 34745.000000 | 5337.000000 | 2562.000000 | 2775.000000 | 34055.000000 | 3624.000000 | 30431.000000 | 351 | 5 |
| 50 - 54 | 53202.000000 | 10661.000000 | 42541.000000 | 7321.000000 | 3601.000000 | 3720.000000 | 41964.000000 | 6064.000000 | 35900.000000 | 1090 | 89 |
| 55 - 59 | 77629.000000 | 20779.000000 | 56850.000000 | 10730.000000 | 5581.000000 | 5149.000000 | 59179.000000 | 13637.000000 | 45542.000000 | 3437 | 446 |
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 | Text | 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 | Numeric | No |
| [Indians] (Married) Total | Text | No |
| [Indians] (Married) Males | Text | No |
| [Indians] (Married) Females | Text | 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.