Resident Population Aged 15 Years and Over by Age Group, Highest Qualification Attained, Sex and Ethnic Group (Census of Population 2020)
What this data shows
Published by Singapore Department of Statistics. 16 records. Fields include Number, [Total] (Total) Total, [Total] (Total) Males, [Total] (Total) Females (136 columns in total). Last updated 2026-09-05.
Description
Census of Population 2020 residents aged 15 and over by age group, highest qualification attained, sex, and ethnic group in a large cross-tabulated CSV from the Singapore Department of Statistics. Footnotes cover residents not in full-time study, including part-time upgraders. Supports education and demographic equity analysis.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 16/06/2021 Update Frequency: 10 years Survey period: Census of Population 2020 Footnotes: Note: Data pertain to residents who were not attending educational institutions as full-time students and include those who were upgrading their qualifications through part-time courses. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17417
- Last updated
- Rows
- 16
- Columns
- 136
Chart
Values are summed where multiple rows share the same category.
Data
| Number | [Total] (Total) Total | [Total] (Total) Males | [Total] (Total) Females | [Total] (No Qualification) Total | [Total] (No Qualification) Males | [Total] (No Qualification) Females | [Total] (Primary) Total | [Total] (Primary) Males | [Total] (Primary) Females | [Total] (Lower Secondary) Total | [Total] (Lower Secondary) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 3140436.000000 | 1505031.000000 | 1635405.000000 | 333821.000000 | 120584.000000 | 213237.000000 | 173912.000000 | 80080.000000 | 93832.000000 | 258136.000000 | 128526.000000 |
| 15 - 19 | 28227.000000 | 19158.000000 | 9069.000000 | 672.000000 | 453.000000 | 219.000000 | 562.000000 | 293.000000 | 270.000000 | 1572.000000 | 981.000000 |
| 20 - 24 | 134440.000000 | 72956.000000 | 61483.000000 | 1115.000000 | 633.000000 | 482.000000 | 907.000000 | 521.000000 | 386.000000 | 3197.000000 | 1915.000000 |
| 25 - 29 | 268873.000000 | 128712.000000 | 140161.000000 | 1762.000000 | 802.000000 | 960.000000 | 1432.000000 | 818.000000 | 614.000000 | 4610.000000 | 2267.000000 |
| 30 - 34 | 295980.000000 | 140178.000000 | 155802.000000 | 2685.000000 | 1076.000000 | 1610.000000 | 1903.000000 | 807.000000 | 1096.000000 | 6875.000000 | 2938.000000 |
| 35 - 39 | 297810.000000 | 139207.000000 | 158603.000000 | 3350.000000 | 986.000000 | 2364.000000 | 2361.000000 | 820.000000 | 1540.000000 | 10601.000000 | 4237.000000 |
| 40 - 44 | 298066.000000 | 138990.000000 | 159076.000000 | 4704.000000 | 1826.000000 | 2877.000000 | 4793.000000 | 1895.000000 | 2899.000000 | 13192.000000 | 5127.000000 |
| 45 - 49 | 311477.000000 | 150793.000000 | 160684.000000 | 9340.000000 | 3759.000000 | 5581.000000 | 9009.000000 | 3520.000000 | 5489.000000 | 19646.000000 | 8243.000000 |
| 50 - 54 | 294231.000000 | 143456.000000 | 150775.000000 | 18405.000000 | 8913.000000 | 9493.000000 | 15025.000000 | 6213.000000 | 8812.000000 | 27686.000000 | 12634.000000 |
| 55 - 59 | 306328.000000 | 149732.000000 | 156596.000000 | 30381.000000 | 13204.000000 | 17177.000000 | 27976.000000 | 13372.000000 | 14604.000000 | 43094.000000 | 22111.000000 |
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] (No Qualification) Total | Numeric | No |
| [Total] (No Qualification) Males | Numeric | No |
| [Total] (No Qualification) Females | Numeric | No |
| [Total] (Primary) Total | Numeric | No |
| [Total] (Primary) Males | Numeric | No |
| [Total] (Primary) Females | Numeric | No |
| [Total] (Lower Secondary) Total | Numeric | No |
| [Total] (Lower Secondary) Males | Numeric | No |
| [Total] (Lower Secondary) Females | Numeric | No |
| [Total] (Secondary) Total | Numeric | No |
| [Total] (Secondary) Males | Numeric | No |
| [Total] (Secondary) Females | Numeric | No |
| [Total] (Post-Secondary (Non-Tertiary)) Total | Numeric | No |
| [Total] (Post-Secondary (Non-Tertiary)) Males | Numeric | No |
| [Total] (Post-Secondary (Non-Tertiary)) Females | Numeric | No |
| [Total] (Polytechnic Diploma) Total | Numeric | No |
| [Total] (Polytechnic Diploma) Males | Numeric | No |
| [Total] (Polytechnic Diploma) Females | Numeric | No |
| [Total] (Professional Qualification and Other Diploma) Total | Numeric | No |
| [Total] (Professional Qualification and Other Diploma) Males | Numeric | No |
| [Total] (Professional Qualification and Other Diploma) Females | Numeric | No |
| [Total] (University) Total | Text | No |
| [Total] (University) Males | Text | No |
| [Total] (University) Females | Text | No |
| [Chinese] (Total) Total | Numeric | No |
| [Chinese] (Total) Males | Numeric | No |
| [Chinese] (Total) Females | Numeric | No |
| [Chinese] (No Qualification) Total | Numeric | No |
| [Chinese] (No Qualification) Males | Numeric | No |
| [Chinese] (No Qualification) Females | Numeric | No |
| [Chinese] (Primary) Total | Numeric | No |
| [Chinese] (Primary) Males | Numeric | No |
| [Chinese] (Primary) Females | Numeric | No |
| [Chinese] (Lower Secondary) Total | Numeric | No |
| [Chinese] (Lower Secondary) Males | Numeric | No |
| [Chinese] (Lower Secondary) Females | Numeric | No |
| [Chinese] (Secondary) Total | Numeric | No |
| [Chinese] (Secondary) Males | Numeric | No |
| [Chinese] (Secondary) Females | Numeric | No |
| [Chinese] (Post-Secondary (Non-Tertiary)) Total | Numeric | No |
| [Chinese] (Post-Secondary (Non-Tertiary)) Males | Numeric | No |
| [Chinese] (Post-Secondary (Non-Tertiary)) Females | Numeric | No |
| [Chinese] (Polytechnic Diploma) Total | Numeric | No |
| [Chinese] (Polytechnic Diploma) Males | Numeric | No |
| [Chinese] (Polytechnic Diploma) Females | Numeric | No |
| [Chinese] (Professional Qualification and Other Diploma) Total | Numeric | No |
| [Chinese] (Professional Qualification and Other Diploma) Males | Numeric | No |
| [Chinese] (Professional Qualification and Other Diploma) Females | Numeric | No |
| [Chinese] (University) Total | Text | No |
| [Chinese] (University) Males | Text | No |
| [Chinese] (University) Females | Text | No |
| [Malays] (Total) Total | Numeric | No |
| [Malays] (Total) Males | Numeric | No |
| [Malays] (Total) Females | Numeric | No |
| [Malays] (No Qualification) Total | Numeric | No |
| [Malays] (No Qualification) Males | Numeric | No |
Showing the first 60 of 136 columns. Download the CSV for the full schema.