Resident Population Aged 15 Years and Over by Age Group, Marital Status, Sex and Ethnic Group (General Household Survey 2005)
What this data shows
Published by Singapore Department of Statistics. 14 records. Fields include Number, [Total] (Total) Total, [Total] (Total) Males, [Total] (Total) Females (76 columns in total). Last updated 2026-09-18.
Description
General Household Survey 2005 resident population aged 15 and over by age group, marital status, sex, and ethnic group (Chinese, Malays, Indians, and totals). Demographers analyse marriage and ethnicity patterns at the 2005 household benchmark. Adapted from SingStat TableBuilder CT/8682.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/03/2016 Update Frequency: 10 years Survey period: General Household Survey 2005 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8682
- Last updated
- Rows
- 14
- 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 | 2770290.000000 | 1357377.000000 | 1412913.000000 | 858133.000000 | 460713.000000 | 397420.000000 | 1700462.000000 | 847006.000000 | 853456.000000 | 135349.000000 | 21113.000000 |
| 15 - 19 | 239355.000000 | 123750.000000 | 115605.000000 | 238540.000000 | 123660.000000 | 114880.000000 | 777.000000 | 90.000000 | 687.000000 | 0.000000 | 0.000000 |
| 20 - 24 | 210897.000000 | 108618.000000 | 102279.000000 | 193037.000000 | 104560.000000 | 88477.000000 | 17029.000000 | 3781.000000 | 13248.000000 | 30.000000 | 0.000000 |
| 25 - 29 | 244346.000000 | 118016.000000 | 126330.000000 | 141904.000000 | 83372.000000 | 58532.000000 | 99592.000000 | 33813.000000 | 65779.000000 | 90.000000 | 0.000000 |
| 30 - 34 | 289410.000000 | 136932.000000 | 152478.000000 | 80092.000000 | 46457.000000 | 33635.000000 | 202654.000000 | 88114.000000 | 114540.000000 | 493.000000 | 155.000000 |
| 35 - 39 | 303517.000000 | 146541.000000 | 156976.000000 | 52391.000000 | 28794.000000 | 23597.000000 | 240937.000000 | 113966.000000 | 126970.000000 | 906.000000 | 142.000000 |
| 40 - 44 | 319828.000000 | 161882.000000 | 157946.000000 | 47071.000000 | 24557.000000 | 22514.000000 | 258873.000000 | 132261.000000 | 126612.000000 | 2201.000000 | 571.000000 |
| 45 - 49 | 300512.000000 | 150711.000000 | 149801.000000 | 39240.000000 | 19338.000000 | 19903.000000 | 243825.000000 | 125418.000000 | 118406.000000 | 3985.000000 | 842.000000 |
| 50 - 54 | 256833.000000 | 128323.000000 | 128509.000000 | 28922.000000 | 13232.000000 | 15690.000000 | 208966.000000 | 109690.000000 | 99276.000000 | 6878.000000 | 972.000000 |
| 55 - 59 | 201242.000000 | 99587.000000 | 101656.000000 | 18450.000000 | 7882.000000 | 10568.000000 | 161901.000000 | 86655.000000 | 75246.000000 | 11843.000000 | 1761.000000 |
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) 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.