Resident Population Aged 15 Years and Over by Age Group, Highest Qualification Attained, Sex and Ethnic Group (Census of Population 2010)
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 2026-09-17.
Description
Census 2010 cross-tabulation of Singapore residents 15+ by age group, highest qualification, sex, and ethnic group with detailed qualification breakdowns. Social researchers examine educational attainment disparities and cohort upgrades across Chinese, Malay, Indian and other communities. The table anchors historical comparisons with Census 2000 and 2020 education releases.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 22/03/2016 Update Frequency: 10 years Survey period: Census of Population 2010 Footnotes: Note: Data exclude residents who were students. For more information, please refer to the publication on 'Singapore Census of Population 2010, Statistical Release 1: Demographic Characteristics, Education, Language and Religion' (https://www.singstat.gov.sg/find-data/explore-data-themes/population/education-language-spoken-and-literacy/related-information). Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8515
- 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 | 2779524.000000 | 1354723.000000 | 1424800.000000 | 424443.000000 | 159806.000000 | 264637.000000 | 193181.000000 | 91940.000000 | 101242.000000 | 282523.000000 | 142894.000000 |
| 15 - 19 | 43223.000000 | 26255.000000 | 16968.000000 | 759.000000 | 416.000000 | 342.000000 | 708.000000 | 428.000000 | 280.000000 | 2846.000000 | 1585.000000 |
| 20 - 24 | 160265.000000 | 86080.000000 | 74185.000000 | 1450.000000 | 702.000000 | 748.000000 | 1568.000000 | 765.000000 | 803.000000 | 4626.000000 | 2185.000000 |
| 25 - 29 | 249427.000000 | 118221.000000 | 131206.000000 | 2035.000000 | 735.000000 | 1301.000000 | 2489.000000 | 1092.000000 | 1396.000000 | 7520.000000 | 2946.000000 |
| 30 - 34 | 289314.000000 | 136762.000000 | 152552.000000 | 3947.000000 | 1491.000000 | 2456.000000 | 4807.000000 | 2106.000000 | 2700.000000 | 12012.000000 | 4541.000000 |
| 35 - 39 | 317293.000000 | 152782.000000 | 164511.000000 | 9039.000000 | 3704.000000 | 5334.000000 | 8796.000000 | 3556.000000 | 5240.000000 | 20389.000000 | 7685.000000 |
| 40 - 44 | 303499.000000 | 148131.000000 | 155368.000000 | 17697.000000 | 8689.000000 | 9009.000000 | 15366.000000 | 6727.000000 | 8638.000000 | 30715.000000 | 13074.000000 |
| 45 - 49 | 319624.000000 | 159287.000000 | 160337.000000 | 31105.000000 | 14740.000000 | 16364.000000 | 28245.000000 | 13264.000000 | 14981.000000 | 46145.000000 | 23146.000000 |
| 50 - 54 | 303583.000000 | 151897.000000 | 151686.000000 | 45317.000000 | 19978.000000 | 25340.000000 | 37340.000000 | 17770.000000 | 19570.000000 | 45202.000000 | 24064.000000 |
| 55 - 59 | 252846.000000 | 127236.000000 | 125609.000000 | 49343.000000 | 18865.000000 | 30478.000000 | 32808.000000 | 14658.000000 | 18150.000000 | 46429.000000 | 25703.000000 |
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) Total | Numeric | No |
| [Total] (Polytechnic) Males | Numeric | No |
| [Total] (Polytechnic) 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) Total | Numeric | No |
| [Chinese] (Polytechnic) Males | Numeric | No |
| [Chinese] (Polytechnic) 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.