Resident Households by Type of Dwelling, Ethnic Group and Sex of Household Reference Person (Census of Population 2020)
Description
Resident households from the Census of Population 2020 classified by dwelling type, ethnic group, and sex of the household reference person, published by the Singapore Department of Statistics. The CSV enables housing tenure and ethnic housing pattern analysis across HDB and private dwelling categories with gender breakdowns for reference persons. Supports urban sociology, housing policy research, and official census table discovery via SingStat TableBuilder CT/17475.
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/17475
- Last updated
- Rows
- 12
- Columns
- 16
Chart
Values are summed where multiple rows share the same category.
Data
| Number | (Total) Total | (Total) Males | (Total) Females | (Chinese) Total | (Chinese) Males | (Chinese) Females | (Malays) Total | (Malays) Males | (Malays) Females | (Indians) Total | (Indians) Males | (Indians) Females | (Others) Total | (Others) Males | (Others) Females |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 1372559.000000 | 994133.000000 | 378427.000000 | 1062046.000000 | 761631.000000 | 300415.000000 | 151741.000000 | 111723.000000 | 40017.000000 | 121222.000000 | 93080.000000 | 28142.000000 | 37551.000000 | 27698.000000 | 9853.000000 |
| HDB Dwellings | 1080088.000000 | 773976.000000 | 306112.000000 | 814679.000000 | 578250.000000 | 236430.000000 | 146020.000000 | 107635.000000 | 38385.000000 | 96599.000000 | 72258.000000 | 24341.000000 | 22790.000000 | 15834.000000 | 6956.000000 |
| 1- and 2-Room Flats1/ | 88814.000000 | 51595.000000 | 37219.000000 | 53704.000000 | 31602.000000 | 22102.000000 | 24258.000000 | 13864.000000 | 10394.000000 | 9385.000000 | 5430.000000 | 3956.000000 | 1466.000000 | 700.000000 | 766.000000 |
| 3-Room Flats | 242388.000000 | 146109.000000 | 96279.000000 | 184860.000000 | 108559.000000 | 76301.000000 | 32015.000000 | 20910.000000 | 11104.000000 | 20994.000000 | 13844.000000 | 7150.000000 | 4519.000000 | 2796.000000 | 1723.000000 |
| 4-Room Flats | 434277.000000 | 324175.000000 | 110102.000000 | 332689.000000 | 244901.000000 | 87788.000000 | 55940.000000 | 44186.000000 | 11754.000000 | 36801.000000 | 28684.000000 | 8117.000000 | 8846.000000 | 6403.000000 | 2442.000000 |
| 5-Room and Executive Flats | 314609.000000 | 252097.000000 | 62512.000000 | 243426.000000 | 193188.000000 | 50238.000000 | 33807.000000 | 28674.000000 | 5133.000000 | 29418.000000 | 24300.000000 | 5118.000000 | 7959.000000 | 5935.000000 | 2024.000000 |
| Condominiums and Other Apartments | 220102.000000 | 163822.000000 | 56280.000000 | 184050.000000 | 134163.000000 | 49887.000000 | 4553.000000 | 3318.000000 | 1234.000000 | 19681.000000 | 16869.000000 | 2812.000000 | 11819.000000 | 9472.000000 | 2347.000000 |
| Landed Properties | 68425.000000 | 53430.000000 | 14996.000000 | 59704.000000 | 46594.000000 | 13109.000000 | 1111.000000 | 729.000000 | 382.000000 | 4749.000000 | 3783.000000 | 966.000000 | 2862.000000 | 2324.000000 | 538.000000 |
| Bungalows | 8930.000000 | 6823.000000 | 2107.000000 | 7325.000000 | 5485.000000 | 1840.000000 | 75.000000 | 46.000000 | 29.000000 | 819.000000 | 696.000000 | 123.000000 | 710.000000 | 595.000000 | 115.000000 |
| Semi-Detached Bungalows | 20683.000000 | 16328.000000 | 4355.000000 | 18328.000000 | 14441.000000 | 3887.000000 | 159.000000 | 122.000000 | 37.000000 | 1337.000000 | 1042.000000 | 295.000000 | 858.000000 | 722.000000 | 136.000000 |
| Terrace Houses | 38813.000000 | 30280.000000 | 8533.000000 | 34050.000000 | 26668.000000 | 7382.000000 | 876.000000 | 561.000000 | 315.000000 | 2592.000000 | 2044.000000 | 548.000000 | 1294.000000 | 1007.000000 | 287.000000 |
| Others | 3944.000000 | 2904.000000 | 1039.000000 | 3614.000000 | 2625.000000 | 989.000000 | 57.000000 | 42.000000 | 16.000000 | 193.000000 | 170.000000 | 23.000000 | 80.000000 | 68.000000 | 12.000000 |
Columns
| Column | Type | Categorical |
|---|---|---|
| Number | Text | No |
| (Total) Total | Numeric | No |
| (Total) Males | Numeric | No |
| (Total) Females | Numeric | No |
| (Chinese) Total | Numeric | No |
| (Chinese) Males | Numeric | No |
| (Chinese) Females | Numeric | No |
| (Malays) Total | Numeric | No |
| (Malays) Males | Numeric | No |
| (Malays) Females | Numeric | No |
| (Indians) Total | Numeric | No |
| (Indians) Males | Numeric | No |
| (Indians) Females | Numeric | No |
| (Others) Total | Numeric | No |
| (Others) Males | Numeric | No |
| (Others) Females | Numeric | No |