Resident Households by Age Group, Ethnic Group and Sex of Household Reference Person (Census of Population 2020)
What this data shows
Published by Singapore Department of Statistics. 13 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (16 columns in total). Last updated 2026-09-06.
Description
Census of Population 2020 table on resident households by age group, ethnic group, and sex of the household reference person, published by the Singapore Department of Statistics in CSV. Supports household demography and ethnic household structure analysis for Singapore’s 2020 census.
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/17526
- Last updated
- Rows
- 13
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 1372559.000000 | 994133.000000 | 378427.000000 | 1062046.000000 | 761631.000000 | 300415.000000 | 151741.000000 | 111723.000000 | 40017.000000 | 121222.000000 | 93080.000000 |
| Below 25 | 6249.000000 | 2978.000000 | 3271.000000 | 4128.000000 | 2000.000000 | 2129.000000 | 1283.000000 | 624.000000 | 659.000000 | 648.000000 | 266.000000 |
| 25 - 29 | 36053.000000 | 21673.000000 | 14380.000000 | 26641.000000 | 15757.000000 | 10884.000000 | 5881.000000 | 3928.000000 | 1952.000000 | 2911.000000 | 1669.000000 |
| 30 - 34 | 88065.000000 | 65362.000000 | 22704.000000 | 64546.000000 | 47390.000000 | 17156.000000 | 14140.000000 | 11198.000000 | 2942.000000 | 7538.000000 | 5623.000000 |
| 35 - 39 | 129100.000000 | 97350.000000 | 31751.000000 | 95625.000000 | 71105.000000 | 24520.000000 | 16933.000000 | 13417.000000 | 3516.000000 | 12373.000000 | 10018.000000 |
| 40 - 44 | 148991.000000 | 111376.000000 | 37615.000000 | 111309.000000 | 81637.000000 | 29672.000000 | 14054.000000 | 10591.000000 | 3463.000000 | 17109.000000 | 14250.000000 |
| 45 - 49 | 168420.000000 | 128072.000000 | 40348.000000 | 125981.000000 | 94336.000000 | 31645.000000 | 16159.000000 | 11967.000000 | 4193.000000 | 18783.000000 | 16030.000000 |
| 50 - 54 | 166172.000000 | 126691.000000 | 39481.000000 | 124947.000000 | 94472.000000 | 30475.000000 | 18754.000000 | 14268.000000 | 4486.000000 | 16666.000000 | 13402.000000 |
| 55 - 59 | 174724.000000 | 131907.000000 | 42817.000000 | 131353.000000 | 99296.000000 | 32057.000000 | 23832.000000 | 17397.000000 | 6435.000000 | 14989.000000 | 11490.000000 |
| 60 - 64 | 159336.000000 | 116241.000000 | 43095.000000 | 127000.000000 | 92681.000000 | 34319.000000 | 17995.000000 | 13315.000000 | 4680.000000 | 11712.000000 | 8382.000000 |
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 | 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 |