Resident Population Aged 15 Years and Over by Language Most Frequently Spoken at Home, Highest Qualification Attained and Sex (Census of Population 2000)
Description
This 2000 Census dataset counts Singapore residents aged 15 and over by the language spoken most frequently at home, highest qualification attained, and sex. Qualification categories range from no qualification and primary education through diplomas and university, with male, female, and total counts. It supports historical analysis of language use, education, and gender, subject to exclusions covering non-students unable to speak and residents in one-person or unrelated-person households.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/09/2015 Update Frequency: 10 years Survey period: Census of Population 2000 Footnotes: Notes: Data exclude those who were unable to speak, and those in one-person households and households comprising unrelated persons. Data exclude residents who were students. 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/5957
- 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 | (Lower Secondary) Females | (Secondary) Total | (Secondary) Males | (Secondary) Females | (Upper Secondary) Total | (Upper Secondary) Males | (Upper Secondary) Females | (Polytechnic) Total | (Polytechnic) Males | (Polytechnic) Females | (Other Diploma) Total | (Other Diploma) Males | (Other Diploma) Females | (University) Total | (University) Males | (University) Females |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 2178557.000000 | 1066504.000000 | 1112054.000000 | 416700.000000 | 154364.000000 | 262336.000000 | 265382.000000 | 129278.000000 | 136104.000000 | 238108.000000 | 128923.000000 | 109184.000000 | 541015.000000 | 264860.000000 | 276155.000000 | 219184.000000 | 115929.000000 | 103255.000000 | 137796.000000 | 86264.000000 | 51531.000000 | 107346.000000 | 46663.000000 | 60683.000000 | 253027.000000 | 140221.000000 | 112806.000000 |
| English | 454997.000000 | 226171.000000 | 228826.000000 | 6572.000000 | 2429.000000 | 4143.000000 | 11155.000000 | 4789.000000 | 6366.000000 | 26230.000000 | 12839.000000 | 13391.000000 | 140220.000000 | 61619.000000 | 78601.000000 | 65098.000000 | 31481.000000 | 33617.000000 | 39463.000000 | 25461.000000 | 14002.000000 | 46523.000000 | 20432.000000 | 26091.000000 | 119735.000000 | 67120.000000 | 52615.000000 |
| Mandarin | 697978.000000 | 332031.000000 | 365948.000000 | 77571.000000 | 29731.000000 | 47839.000000 | 95597.000000 | 40158.000000 | 55439.000000 | 96189.000000 | 48257.000000 | 47933.000000 | 184815.000000 | 85696.000000 | 99119.000000 | 79487.000000 | 41320.000000 | 38167.000000 | 57055.000000 | 33324.000000 | 23731.000000 | 32600.000000 | 13093.000000 | 19507.000000 | 74664.000000 | 40451.000000 | 34213.000000 |
| Chinese Dialects | 649578.000000 | 323203.000000 | 326375.000000 | 256531.000000 | 95956.000000 | 160575.000000 | 98347.000000 | 55396.000000 | 42951.000000 | 61234.000000 | 38337.000000 | 22897.000000 | 106487.000000 | 59767.000000 | 46720.000000 | 38716.000000 | 22773.000000 | 15943.000000 | 31333.000000 | 21024.000000 | 10309.000000 | 19190.000000 | 8399.000000 | 10791.000000 | 37740.000000 | 21551.000000 | 16189.000000 |
| Hokkien | 312938.000000 | 162315.000000 | 150624.000000 | 131717.000000 | 52369.000000 | 79348.000000 | 50408.000000 | 30085.000000 | 20324.000000 | 30959.000000 | 20504.000000 | 10455.000000 | 48804.000000 | 28942.000000 | 19862.000000 | 16821.000000 | 10339.000000 | 6482.000000 | 14160.000000 | 9523.000000 | 4638.000000 | 7160.000000 | 3183.000000 | 3976.000000 | 12909.000000 | 7370.000000 | 5538.000000 |
| Teochew | 134621.000000 | 65662.000000 | 68959.000000 | 57466.000000 | 20739.000000 | 36728.000000 | 19730.000000 | 11236.000000 | 8494.000000 | 11610.000000 | 7490.000000 | 4120.000000 | 20784.000000 | 11740.000000 | 9044.000000 | 7512.000000 | 4455.000000 | 3057.000000 | 6716.000000 | 4596.000000 | 2120.000000 | 3527.000000 | 1564.000000 | 1963.000000 | 7276.000000 | 3843.000000 | 3433.000000 |
| Cantonese | 151247.000000 | 70862.000000 | 80385.000000 | 45813.000000 | 15513.000000 | 30300.000000 | 21237.000000 | 10184.000000 | 11054.000000 | 14501.000000 | 7778.000000 | 6723.000000 | 29497.000000 | 14766.000000 | 14731.000000 | 11072.000000 | 6023.000000 | 5049.000000 | 8420.000000 | 5529.000000 | 2891.000000 | 6899.000000 | 3005.000000 | 3895.000000 | 13808.000000 | 8064.000000 | 5744.000000 |
| Other Chinese Dialects | 50771.000000 | 24364.000000 | 26407.000000 | 21535.000000 | 7335.000000 | 14200.000000 | 6971.000000 | 3892.000000 | 3080.000000 | 4164.000000 | 2565.000000 | 1599.000000 | 7402.000000 | 4320.000000 | 3083.000000 | 3311.000000 | 1956.000000 | 1356.000000 | 2037.000000 | 1377.000000 | 660.000000 | 1604.000000 | 647.000000 | 957.000000 | 3747.000000 | 2273.000000 | 1474.000000 |
| Malay | 283621.000000 | 139643.000000 | 143979.000000 | 60016.000000 | 20714.000000 | 39302.000000 | 46451.000000 | 22883.000000 | 23568.000000 | 43198.000000 | 23745.000000 | 19452.000000 | 88579.000000 | 46626.000000 | 41953.000000 | 28025.000000 | 16221.000000 | 11804.000000 | 7602.000000 | 4791.000000 | 2812.000000 | 5326.000000 | 2532.000000 | 2795.000000 | 4424.000000 | 2131.000000 | 2293.000000 |
| Indian Languages | 86713.000000 | 42756.000000 | 43958.000000 | 15164.000000 | 5216.000000 | 9948.000000 | 13319.000000 | 5822.000000 | 7497.000000 | 10981.000000 | 5623.000000 | 5358.000000 | 20042.000000 | 10726.000000 | 9316.000000 | 7344.000000 | 3914.000000 | 3430.000000 | 2178.000000 | 1583.000000 | 595.000000 | 3410.000000 | 2100.000000 | 1310.000000 | 14277.000000 | 7772.000000 | 6505.000000 |
| Tamil | 70567.000000 | 34946.000000 | 35621.000000 | 13079.000000 | 4611.000000 | 8468.000000 | 12218.000000 | 5379.000000 | 6840.000000 | 10043.000000 | 5217.000000 | 4827.000000 | 17148.000000 | 9265.000000 | 7883.000000 | 5709.000000 | 3180.000000 | 2530.000000 | 1694.000000 | 1209.000000 | 485.000000 | 2359.000000 | 1372.000000 | 987.000000 | 8316.000000 | 4714.000000 | 3601.000000 |
| Other Indian Languages | 16146.000000 | 7809.000000 | 8337.000000 | 2084.000000 | 605.000000 | 1480.000000 | 1100.000000 | 444.000000 | 657.000000 | 937.000000 | 406.000000 | 531.000000 | 2893.000000 | 1461.000000 | 1432.000000 | 1635.000000 | 734.000000 | 901.000000 | 484.000000 | 374.000000 | 110.000000 | 1051.000000 | 728.000000 | 323.000000 | 5961.000000 | 3058.000000 | 2904.000000 |
| Others | 5669.000000 | 2701.000000 | 2969.000000 | 847.000000 | 317.000000 | 530.000000 | 513.000000 | 230.000000 | 282.000000 | 276.000000 | 122.000000 | 153.000000 | 872.000000 | 425.000000 | 447.000000 | 515.000000 | 220.000000 | 294.000000 | 165.000000 | 82.000000 | 83.000000 | 296.000000 | 107.000000 | 189.000000 | 2187.000000 | 1196.000000 | 991.000000 |
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 |
| (Upper Secondary) Total | Numeric | No |
| (Upper Secondary) Males | Numeric | No |
| (Upper Secondary) Females | Numeric | No |
| (Polytechnic) Total | Numeric | No |
| (Polytechnic) Males | Numeric | No |
| (Polytechnic) Females | Numeric | No |
| (Other Diploma) Total | Numeric | No |
| (Other Diploma) Males | Numeric | No |
| (Other Diploma) Females | Numeric | No |
| (University) Total | Numeric | No |
| (University) Males | Numeric | No |
| (University) Females | Numeric | No |