Resident Population Aged 5 Years and Over by Language Most Frequently Spoken at Home, Country of Birth and Sex (Census of Population 2000)
Description
Census of Population 2000 counts of Singapore residents aged 5 and over by language most frequently spoken at home, country of birth (Singapore, Malaysia, Indonesia, Greater China, South Asia, other Asia, Europe, USA & Canada, others), and sex. Historical demographers compare home-language patterns by birthplace at the 2000 benchmark. Adapted from SingStat TableBuilder CT/5956.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/09/2015 Update Frequency: 10 years Survey period: Census of Population 2000 Footnotes: Note: Data exclude persons who were unable to speak, and those in one-person households and households comprising unrelated persons. 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/5956
- Last updated
- Rows
- 13
- 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 | (Indonesia) Females | (Mainland China, Hong Kong & Taiwan) Total | (Mainland China, Hong Kong & Taiwan) Males | (Mainland China, Hong Kong & Taiwan) Females | (South Asia*) Total | (South Asia*) Males | (South Asia*) Females | (Other Asian Countries) Total | (Other Asian Countries) Males | (Other Asian Countries) Females | (European Countries) Total | (European Countries) Males | (European Countries) Females | (USA & Canada) Total | (USA & Canada) Males | (USA & Canada) Females | (Others) Total | (Others) Males | (Others) Females |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 2887552.000000 | 1433469.000000 | 1454083.000000 | 2365983.000000 | 1204867.000000 | 1161116.000000 | 283668.000000 | 121657.000000 | 162010.000000 | 27371.000000 | 9741.000000 | 17630.000000 | 136064.000000 | 61161 | 74903.000000 | 51028.000000 | 26347 | 24681 | 13400.000000 | 4064.000000 | 9336.000000 | 4078 | 2474 | 1604 | 2964 | 1599 | 1365 | 2997.000000 | 1559.000000 | 1438.000000 |
| English | 665087.000000 | 334047.000000 | 331041.000000 | 577447.000000 | 289856.000000 | 287592.000000 | 51633.000000 | 26788.000000 | 24845.000000 | 5103.000000 | 2262.000000 | 2842.000000 | 5658.000000 | 2703 | 2955.000000 | 11213.000000 | 5950 | 5263 | 6218.000000 | 1923.000000 | 4295.000000 | 3341 | 2148 | 1193 | 2327 | 1272 | 1055 | 2147.000000 | 1146.000000 | 1001.000000 |
| Mandarin | 1010539.000000 | 492180.000000 | 518359.000000 | 819396.000000 | 411881.000000 | 407515.000000 | 129850.000000 | 53556.000000 | 76294.000000 | 7955.000000 | 2424.000000 | 5531.000000 | 49832.000000 | 23243 | 26589.000000 | 16.000000 | 7 | 10 | 2445.000000 | 514.000000 | 1931.000000 | 214 | 114 | 101 | 401 | 221 | 181 | 429.000000 | 220.000000 | 209.000000 |
| Chinese Dialects | 687272.000000 | 344807.000000 | 342466.000000 | 532031.000000 | 281350.000000 | 250681.000000 | 66240.000000 | 25927.000000 | 40313.000000 | 6312.000000 | 1733.000000 | 4579.000000 | 80362.000000 | 35107 | 45255.000000 | 49.000000 | 33 | 16 | 1822.000000 | 438.000000 | 1384.000000 | 48 | 17 | 32 | 179 | 92 | 86 | 229.000000 | 109.000000 | 120.000000 |
| Hokkien | 329583.000000 | 172026.000000 | 157557.000000 | 279757.000000 | 151634.000000 | 128123.000000 | 24468.000000 | 9737.000000 | 14732.000000 | 3360.000000 | 894.000000 | 2465.000000 | 21117.000000 | 9601 | 11516.000000 | 19.000000 | 19 | na | 803.000000 | 111.000000 | 692.000000 | 14 | 5 | 10 | na | na | na | 45.000000 | 26.000000 | 19.000000 |
| Teochew | 141569.000000 | 69645.000000 | 71924.000000 | 112554.000000 | 58419.000000 | 54136.000000 | 8634.000000 | 3156.000000 | 5478.000000 | 1779.000000 | 388.000000 | 1391.000000 | 18213.000000 | 7595 | 10618.000000 | 5.000000 | 5 | na | 318.000000 | 53.000000 | 265.000000 | na | na | na | 6 | na | 6 | 59.000000 | 29.000000 | 30.000000 |
| Cantonese | 163703.000000 | 77764.000000 | 85938.000000 | 112277.000000 | 56255.000000 | 56022.000000 | 24031.000000 | 9367.000000 | 14664.000000 | 627.000000 | 276.000000 | 351.000000 | 25820.000000 | 11450 | 14369.000000 | 19.000000 | 10 | 10 | 635.000000 | 258.000000 | 377.000000 | 18 | 7 | 11 | 168 | 92 | 75 | 109.000000 | 50.000000 | 59.000000 |
| Other Chinese Dialects | 52418.000000 | 25371.000000 | 27047.000000 | 27443.000000 | 15042.000000 | 12400.000000 | 9107.000000 | 3667.000000 | 5440.000000 | 547.000000 | 175.000000 | 372.000000 | 15212.000000 | 6460 | 8752.000000 | 6.000000 | na | 6 | 66.000000 | 17.000000 | 50.000000 | 16 | 5 | 11 | 5 | na | 5 | 16.000000 | 5.000000 | 11.000000 |
| Malay | 406550.000000 | 203765.000000 | 202785.000000 | 370249.000000 | 188103.000000 | 182146.000000 | 27486.000000 | 11845.000000 | 15641.000000 | 7564.000000 | 3104.000000 | 4460.000000 | 50.000000 | 12 | 38.000000 | 805.000000 | 546 | 258 | 257.000000 | 86.000000 | 171.000000 | 25 | 14 | 11 | 11 | na | 11 | 103.000000 | 55.000000 | 48.000000 |
| Indian Languages | 110877.000000 | 55207.000000 | 55670.000000 | 63988.000000 | 32100.000000 | 31888.000000 | 8150.000000 | 3433.000000 | 4717.000000 | 83.000000 | 42.000000 | 42.000000 | 16.000000 | 5 | 11.000000 | 38369.000000 | 19528 | 18841 | 106.000000 | 53.000000 | 53.000000 | 83 | 28 | 54 | 33 | 7 | 26 | 50.000000 | 12.000000 | 38.000000 |
| Tamil | 91015.000000 | 45444.000000 | 45571.000000 | 58075.000000 | 28679.000000 | 29396.000000 | 7235.000000 | 3091.000000 | 4144.000000 | 19.000000 | 10.000000 | 10.000000 | 6.000000 | na | 6.000000 | 25589.000000 | 13655 | 11935 | 43.000000 | 5.000000 | 38.000000 | 30 | na | 30 | na | na | na | 16.000000 | 5.000000 | 11.000000 |
| Other Indian Languages | 19862.000000 | 9763.000000 | 10099.000000 | 5913.000000 | 3421.000000 | 2492.000000 | 914.000000 | 342.000000 | 572.000000 | 64.000000 | 32.000000 | 32.000000 | 10.000000 | 5 | 5.000000 | 12779.000000 | 5873 | 6907 | 63.000000 | 48.000000 | 14.000000 | 52 | 28 | 24 | 33 | 7 | 26 | 34.000000 | 7.000000 | 27.000000 |
| Others | 7228.000000 | 3464.000000 | 3764.000000 | 2872.000000 | 1578.000000 | 1294.000000 | 309.000000 | 108.000000 | 201.000000 | 353.000000 | 176.000000 | 178.000000 | 146.000000 | 92 | 54.000000 | 576.000000 | 283 | 293 | 2553.000000 | 1050.000000 | 1503.000000 | 367 | 154 | 213 | 13 | 7 | 6 | 39.000000 | 17.000000 | 22.000000 |
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 | Numeric | No |
| (Indonesia) Males | Numeric | No |
| (Indonesia) Females | Numeric | No |
| (Mainland China, Hong Kong & Taiwan) Total | Numeric | No |
| (Mainland China, Hong Kong & Taiwan) Males | Text | No |
| (Mainland China, Hong Kong & Taiwan) Females | Numeric | No |
| (South Asia*) Total | Numeric | No |
| (South Asia*) Males | Text | No |
| (South Asia*) Females | Text | No |
| (Other Asian Countries) Total | Numeric | No |
| (Other Asian Countries) Males | Numeric | No |
| (Other Asian Countries) Females | Numeric | 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 | Numeric | No |
| (Others) Males | Numeric | No |
| (Others) Females | Numeric | No |