Resident Population Aged 15 Years and Over by Language Literate In, Country of Birth and Sex (Census of Population 2000)
What this data shows
Published by Singapore Department of Statistics. 20 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (31 columns in total). Last updated 2026-09-16.
Description
Census of Population 2000 counts of Singapore residents aged 15 and over by the language they are literate in, cross-tabulated with country of birth (Singapore, Malaysia, Indonesia, Greater China, South Asia, other Asia, Europe, USA & Canada, and others) and sex. Historical demographers and language-policy researchers study literacy patterns by birthplace and gender at the 2000 benchmark. Adapted from SingStat TableBuilder CT/6560.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 29/10/2015 Update Frequency: 10 years Survey period: Census of Population 2000 Footnotes: For more information, please refer to the publication on 'Singapore Census of Population 2000, Statistical Release 2: 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/6560
- Last updated
- Rows
- 20
- Columns
- 31
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 | (Indonesia) Total | (Indonesia) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 2494631.000000 | 1229758.000000 | 1264872.000000 | 1969704.000000 | 998815.000000 | 970890.000000 | 291615.000000 | 125314.000000 | 166301.000000 | 27037 | 9399 |
| Not Literate | 185865.000000 | 42240.000000 | 143624.000000 | 126125.000000 | 32761.000000 | 93364.000000 | 18760.000000 | 2644.000000 | 16117.000000 | 4137 | 775 |
| Literate | 2308766.000000 | 1187518.000000 | 1121248.000000 | 1843580.000000 | 966054.000000 | 877526.000000 | 272855.000000 | 122671.000000 | 150185.000000 | 22900 | 8624 |
| One Language Only | 1015302.000000 | 514708.000000 | 500595.000000 | 757683.000000 | 401770.000000 | 355912.000000 | 150080.000000 | 59362.000000 | 90717.000000 | 12533 | 4000 |
| Chinese Only | 580369.000000 | 284546.000000 | 295823.000000 | 405393.000000 | 210708.000000 | 194685.000000 | 104323.000000 | 37941.000000 | 66382.000000 | 6055 | 1721 |
| English Only | 353801.000000 | 199217.000000 | 154584.000000 | 298735.000000 | 170805.000000 | 127931.000000 | 32224.000000 | 16767.000000 | 15457.000000 | 3012 | 1173 |
| Malay Only | 62721.000000 | 24047.000000 | 38674.000000 | 48045.000000 | 18710.000000 | 29336.000000 | 11097.000000 | 4129.000000 | 6968.000000 | 3376 | 1087 |
| Tamil Only | 15293.000000 | 6438.000000 | 8854.000000 | 4729.000000 | 1393.000000 | 3335.000000 | 2203.000000 | 499.000000 | 1704.000000 | na | na |
| Non-Official Language Only | 3119.000000 | 460.000000 | 2660.000000 | 780.000000 | 154.000000 | 626.000000 | 232.000000 | 26.000000 | 206.000000 | 89 | 19 |
| Two Languages Only | 1244466.000000 | 646549.000000 | 597917.000000 | 1068558.000000 | 554892.000000 | 513666.000000 | 99000.000000 | 51003.000000 | 47997.000000 | 8362 | 3549 |
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 | Numeric | No |
| (Indonesia) Total | Text | No |
| (Indonesia) Males | Text | No |
| (Indonesia) Females | Text | No |
| (Mainland China, Hong Kong & Taiwan) Total | Text | No |
| (Mainland China, Hong Kong & Taiwan) Males | Text | No |
| (Mainland China, Hong Kong & Taiwan) Females | Text | No |
| (South Asia*) Total | Text | No |
| (South Asia*) Males | Text | No |
| (South Asia*) 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 & Canada) Total | Text | No |
| (USA & Canada) Males | Text | No |
| (USA & Canada) Females | Text | No |
| (Others) Total | Text | No |
| (Others) Males | Text | No |
| (Others) Females | Text | No |