Resident Population Aged 15 Years and Over by Age Group, Marital Status, Sex and Ethnic Group (General Household Survey 2015)
What this data shows
Published by Singapore Department of Statistics. 14 records. Fields include Thousands, [Total] (Total) Total, [Total] (Total) Males, [Total] (Total) Females (76 columns in total). Last updated 2026-09-04.
Description
Explore Singapore resident population aged 15 and over from the General Household Survey 2015, cross-classified by age group, marital status, sex, and ethnic group. Published by the Singapore Department of Statistics, the table reports counts in thousands with detailed breakdowns for Chinese, Malay, Indian, and other communities across single, married, widowed, and divorced or separated categories. It supports demographic research on marriage patterns, ageing, and ethnic profiles in Singapore. Data were last updated on 9 March 2016 on a decennial survey cycle.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 09/03/2016 Update Frequency: 10 years Survey period: General Household Survey 2015 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8190
- Last updated
- Rows
- 14
- Columns
- 76
Chart
Values are summed where multiple rows share the same category.
Data
| Thousands | [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 | 3275.900000 | 1589.600000 | 1686.300000 | 1034.500000 | 533.200000 | 501.300000 | 1945.600000 | 984.700000 | 960.900000 | 172.100000 | 28.900000 |
| 15 - 19 | 254.600000 | 131.900000 | 122.700000 | 254.300000 | 131.800000 | 122.500000 | 0.300000 | 0.000000 | 0.200000 | 0.000000 | 0.000000 |
| 20 - 24 | 256.800000 | 132.400000 | 124.400000 | 249.700000 | 130.800000 | 119.000000 | 6.600000 | 1.500000 | 5.100000 | 0.000000 | 0.000000 |
| 25 - 29 | 244.300000 | 119.600000 | 124.700000 | 174.500000 | 95.900000 | 78.600000 | 67.200000 | 23.000000 | 44.100000 | 0.000000 | 0.000000 |
| 30 - 34 | 271.200000 | 127.300000 | 143.900000 | 84.500000 | 47.800000 | 36.700000 | 180.500000 | 77.600000 | 102.900000 | 0.500000 | 0.100000 |
| 35 - 39 | 300.500000 | 140.500000 | 160.000000 | 56.100000 | 28.900000 | 27.200000 | 232.600000 | 107.800000 | 124.800000 | 0.400000 | 0.000000 |
| 40 - 44 | 315.600000 | 151.500000 | 164.100000 | 48.400000 | 23.300000 | 25.100000 | 249.000000 | 121.900000 | 127.100000 | 1.600000 | 0.200000 |
| 45 - 49 | 301.600000 | 146.500000 | 155.000000 | 41.500000 | 18.900000 | 22.500000 | 240.100000 | 121.800000 | 118.300000 | 3.100000 | 0.500000 |
| 50 - 54 | 319.400000 | 159.300000 | 160.100000 | 38.200000 | 18.800000 | 19.400000 | 255.500000 | 131.900000 | 123.600000 | 6.200000 | 1.600000 |
| 55 - 59 | 296.700000 | 148.800000 | 147.900000 | 35.000000 | 16.100000 | 18.900000 | 233.000000 | 124.600000 | 108.400000 | 11.400000 | 1.800000 |
Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Thousands | 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 | Numeric | No |
| [Total] (Widowed) Males | Numeric | No |
| [Total] (Widowed) Females | Numeric | No |
| [Total] (Divorced/Separated) Total | Numeric | No |
| [Total] (Divorced/Separated) Males | Numeric | No |
| [Total] (Divorced/Separated) Females | Numeric | 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 | Numeric | No |
| [Chinese] (Widowed) Males | Numeric | No |
| [Chinese] (Widowed) Females | Numeric | No |
| [Chinese] (Divorced/Separated) Total | Numeric | No |
| [Chinese] (Divorced/Separated) Males | Numeric | No |
| [Chinese] (Divorced/Separated) Females | Numeric | 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 | Numeric | No |
| [Malays] (Widowed) Males | Numeric | No |
| [Malays] (Widowed) Females | Numeric | No |
| [Malays] (Divorced/Separated) Total | Numeric | No |
| [Malays] (Divorced/Separated) Males | Numeric | No |
| [Malays] (Divorced/Separated) Females | Numeric | 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 | Numeric | No |
| [Indians] (Married) Males | Numeric | No |
| [Indians] (Married) Females | Numeric | No |
| [Indians] (Widowed) Total | Numeric | No |
| [Indians] (Widowed) Males | Numeric | No |
| [Indians] (Widowed) Females | Numeric | No |
| [Indians] (Divorced/Separated) Total | Numeric | No |
| [Indians] (Divorced/Separated) Males | Numeric | No |
Showing the first 60 of 76 columns. Download the CSV for the full schema.