Resident Population Aged 15 Years and Over by Language Most Frequently Spoken at Home, Highest Qualification Attained and Sex (Census of Population 2010)
What this data shows
Published by Singapore Department of Statistics. 13 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (28 columns in total). Last updated 2026-09-16.
Description
Cross-tabulation from the Census of Population 2010 showing Singapore residents aged 15 and over by the language most frequently spoken at home, highest qualification attained, and sex. Columns run from no qualification through primary, secondary, post-secondary, polytechnic, professional qualification and diploma, and university, each split by total, males, and females. Published by the Singapore Department of Statistics, the table supports research on the link between home language and educational attainment, and on gender differences within language groups. Data exclude persons unable to speak and those in one-person or wholly unrelated-person households. Adapted from SingStat TableBuilder CT/5988.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 29/09/2015 Update Frequency: 10 years Survey period: Census of Population 2010 Footnotes: Notes: Data exclude persons who were unable to speak, and those in one-person households and households comprising only unrelated persons. 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/5988
- Last updated
- Rows
- 13
- Columns
- 28
Chart
Values are summed where multiple rows share the same category.
Data
| Number | (Total) Total | (Total) Males | (Total) Females | (No Qualification) Total | (No Qualification) Males | (No Qualification) Females | (Primary) Total | (Primary) Males | (Primary) Females | (Lower Secondary) Total | (Lower Secondary) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 2604303.000000 | 1266098.000000 | 1338204.000000 | 387098.000000 | 144766.000000 | 242333.000000 | 182114.000000 | 85551.000000 | 96563.000000 | 266213.000000 | 133676.000000 |
| English | 735870.000000 | 366753.000000 | 369117.000000 | 10608.000000 | 4294.000000 | 6314.000000 | 12052.000000 | 5711.000000 | 6342.000000 | 39575.000000 | 18213.000000 |
| Mandarin | 937790.000000 | 448710.000000 | 489080.000000 | 107849.000000 | 43184.000000 | 64665.000000 | 78077.000000 | 33392.000000 | 44685.000000 | 120628.000000 | 57659.000000 |
| Chinese Dialects | 475055.000000 | 227196.000000 | 247858.000000 | 202867.000000 | 75808.000000 | 127059.000000 | 52500.000000 | 28018.000000 | 24482.000000 | 54113.000000 | 32045.000000 |
| Hokkien | 234341.000000 | 117482.000000 | 116859.000000 | 108509.000000 | 42740.000000 | 65768.000000 | 28170.000000 | 16162.000000 | 12008.000000 | 27228.000000 | 17203.000000 |
| Teochew | 92665.000000 | 43320.000000 | 49346.000000 | 43473.000000 | 16035.000000 | 27438.000000 | 10264.000000 | 5413.000000 | 4850.000000 | 9629.000000 | 5817.000000 |
| Cantonese | 116061.000000 | 52385.000000 | 63676.000000 | 37194.000000 | 12671.000000 | 24522.000000 | 11002.000000 | 4945.000000 | 6057.000000 | 14164.000000 | 7288.000000 |
| Other Chinese Dialects | 31987.000000 | 14010.000000 | 17978.000000 | 13692.000000 | 4362.000000 | 9330.000000 | 3063.000000 | 1497.000000 | 1566.000000 | 3091.000000 | 1737.000000 |
| Malay | 305568.000000 | 149356.000000 | 156212.000000 | 52885.000000 | 17751.000000 | 35134.000000 | 31354.000000 | 15297.000000 | 16057.000000 | 40830.000000 | 20750.000000 |
| Indian Languages | 120180.000000 | 59709.000000 | 60471.000000 | 12449.000000 | 3633.000000 | 8816.000000 | 7985.000000 | 3109.000000 | 4876.000000 | 10524.000000 | 4889.000000 |
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 |
| (No Qualification) Total | Numeric | No |
| (No Qualification) Males | Numeric | No |
| (No Qualification) Females | Numeric | No |
| (Primary) Total | Numeric | No |
| (Primary) Males | Numeric | No |
| (Primary) Females | Numeric | No |
| (Lower Secondary) Total | Numeric | No |
| (Lower Secondary) Males | Numeric | No |
| (Lower Secondary) Females | Numeric | No |
| (Secondary) Total | Numeric | No |
| (Secondary) Males | Numeric | No |
| (Secondary) Females | Numeric | No |
| (Post-Secondary (Non-Tertiary)) Total | Numeric | No |
| (Post-Secondary (Non-Tertiary)) Males | Numeric | No |
| (Post-Secondary (Non-Tertiary)) Females | Numeric | No |
| (Polytechnic) Total | Numeric | No |
| (Polytechnic) Males | Numeric | No |
| (Polytechnic) Females | Numeric | No |
| (Professional Qualification And Other Diploma) Total | Numeric | No |
| (Professional Qualification And Other Diploma) Males | Numeric | No |
| (Professional Qualification And Other Diploma) Females | Numeric | No |
| (University) Total | Numeric | No |
| (University) Males | Numeric | No |
| (University) Females | Numeric | No |