Resident Population Aged 15 Years and Over by Language Literate In, Place of Birth and Sex (Census of Population 2010)
What this data shows
Published by Singapore Department of Statistics. 20 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (34 columns in total). Last updated 2026-09-16.
Description
Census of Population 2010 table counting Singapore residents aged 15 years and over by the language or languages they were literate in, cross-tabulated by place of birth and sex. Place-of-birth columns cover Singapore, Malaysia, Mainland China including Hong Kong and Macao, India, Pakistan, Bangladesh and Sri Lanka, Indonesia, other Asian countries, European countries, the USA and Canada, and Australia and New Zealand, each split into totals, males, and females. Sociolinguists and migration researchers use it to see how literacy patterns differ between locally born residents and those born abroad. Adapted from SingStat TableBuilder CT/6751.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 04/11/2015 Update Frequency: 10 years Survey period: Census of Population 2010 Footnotes: 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/6751
- Last updated
- Rows
- 20
- Columns
- 34
Chart
Values are summed where multiple rows share the same category.
Data
| Number | (Total) Total | (Total) Males | (Total) Females | (Singapore) Total | (Singapore) Males | (Singapore) Females | (Malaysia) Total | (Malaysia) Males | (Malaysia) Females | (Mainland China, Hong Kong And Macao) Total | (Mainland China, Hong Kong And Macao) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 3105748.000000 | 1517428.000000 | 1588321.000000 | 2335328.000000 | 1182082.000000 | 1153246.000000 | 352983.000000 | 149249.000000 | 203734 | 157967 | 65218 |
| Not Literate | 128661.000000 | 29785.000000 | 98875.000000 | 95118.000000 | 24886.000000 | 70232.000000 | 13360.000000 | 2069.000000 | 11291 | 15906 | 2312 |
| Literate | 2977088.000000 | 1487642.000000 | 1489446.000000 | 2240210.000000 | 1157196.000000 | 1083014.000000 | 339623.000000 | 147180.000000 | 192443 | 142061 | 62906 |
| One Language Only | 878214.000000 | 421914.000000 | 456300.000000 | 630457.000000 | 326217.000000 | 304240.000000 | 123767.000000 | 45230.000000 | 78536 | 61553 | 24725 |
| Chinese Only | 485511.000000 | 217759.000000 | 267753.000000 | 328034.000000 | 162087.000000 | 165946.000000 | 90295.000000 | 30648.000000 | 59646 | 58992 | 23343 |
| English Only | 329194.000000 | 185163.000000 | 144031.000000 | 262443.000000 | 150950.000000 | 111493.000000 | 23722.000000 | 12009.000000 | 11713 | 2521 | 1367 |
| Malay Only | 47278.000000 | 14908.000000 | 32370.000000 | 35712.000000 | 12146.000000 | 23566.000000 | 8043.000000 | 2281.000000 | 5762 | na | na |
| Tamil Only | 10939.000000 | 3367.000000 | 7572.000000 | 3488.000000 | 837.000000 | 2651.000000 | 1493.000000 | 268.000000 | 1226 | na | na |
| Non-Official Language Only | 5292.000000 | 717.000000 | 4575.000000 | 779.000000 | 196.000000 | 583.000000 | 214.000000 | 25.000000 | 189 | 40 | 15 |
| Two Languages Only | 1896268.000000 | 966239.000000 | 930029.000000 | 1533307.000000 | 791590.000000 | 741718.000000 | 135726.000000 | 64672.000000 | 71054 | 77742 | 36790 |
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 |
| (Singapore) Total | Numeric | No |
| (Singapore) Males | Numeric | No |
| (Singapore) Females | Numeric | No |
| (Malaysia) Total | Numeric | No |
| (Malaysia) Males | Numeric | No |
| (Malaysia) Females | Text | No |
| (Mainland China, Hong Kong And Macao) Total | Text | No |
| (Mainland China, Hong Kong And Macao) Males | Text | No |
| (Mainland China, Hong Kong And Macao) Females | Text | No |
| (India, Pakistan, Bangladesh And Sri Lanka) Total | Numeric | No |
| (India, Pakistan, Bangladesh And Sri Lanka) Males | Numeric | No |
| (India, Pakistan, Bangladesh And Sri Lanka) Females | Text | No |
| (Indonesia) Total | Text | No |
| (Indonesia) Males | Text | No |
| (Indonesia) Females | Text | No |
| (Other Asian Countries) Total | Text | No |
| (Other Asian Countries) Males | Text | No |
| (Other Asian Countries) Females | Text | No |
| (European Countries) Total | Text | No |
| (European Countries) Males | Text | No |
| (European Countries) Females | Text | No |
| (USA And Canada) Total | Text | No |
| (USA And Canada) Males | Text | No |
| (USA And Canada) Females | Text | No |
| (Australia And New Zealand) Total | Text | No |
| (Australia And New Zealand) Males | Text | No |
| (Australia And New Zealand) Females | Text | No |
| (Others) Total | Text | No |
| (Others) Males | Text | No |
| (Others) Females | Text | No |