Resident Population Aged 15 Years and Over by Age Group, Highest Qualification Attained, Sex and Ethnic Group (Census of Population 2000)
What this data shows
Published by Singapore Department of Statistics. 15 records. Fields include Number, [Total] (Total) Total, [Total] (Total) Males, [Total] (Total) Females (136 columns in total). Last updated 2026-09-21.
Description
Census of Population 2000 CSV from SingStat of resident population aged 15 and over by age group, highest qualification, sex, and ethnic group, excluding students. Qualification columns run from no qualification through university for total and Chinese groups and related cross-tabs. Historical demographers compare education attainment across ethnicity and gender. Adapted from SingStat TableBuilder CT/8887.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 30/03/2016 Update Frequency: 10 years Survey period: Census of Population 2000 Footnotes: Note: 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/8887
- Last updated
- Rows
- 15
- Columns
- 136
Chart
Values are summed where multiple rows share the same category.
Data
| Number | [Total] (Total) Total | [Total] (Total) Males | [Total] (Total) Females | [Total] (No Qualification) Total | [Total] (No Qualification) Males | [Total] (No Qualification) Females | [Total] (Primary) Total | [Total] (Primary) Males | [Total] (Primary) Females | [Total] (Lower Secondary) Total | [Total] (Lower Secondary) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 2277401.000000 | 1117804.000000 | 1159597.000000 | 445444.000000 | 167765.000000 | 277679.000000 | 276542.000000 | 136369.000000 | 140173.000000 | 248598.000000 | 135251.000000 |
| 15 - 19 | 51759.000000 | 28500.000000 | 23259.000000 | 1803.000000 | 982.000000 | 820.000000 | 1943.000000 | 1054.000000 | 889.000000 | 7546.000000 | 4180.000000 |
| 20 - 24 | 151657.000000 | 76641.000000 | 75016.000000 | 3821.000000 | 2175.000000 | 1647.000000 | 5497.000000 | 3065.000000 | 2432.000000 | 10413.000000 | 5643.000000 |
| 25 - 29 | 250510.000000 | 118741.000000 | 131769.000000 | 7206.000000 | 3610.000000 | 3596.000000 | 11258.000000 | 5083.000000 | 6175.000000 | 17115.000000 | 7533.000000 |
| 30 - 34 | 279500.000000 | 136039.000000 | 143461.000000 | 15368.000000 | 7978.000000 | 7390.000000 | 19207.000000 | 8884.000000 | 10323.000000 | 27117.000000 | 12355.000000 |
| 35 - 39 | 310677.000000 | 156250.000000 | 154427.000000 | 24633.000000 | 11808.000000 | 12824.000000 | 36437.000000 | 17053.000000 | 19384.000000 | 41107.000000 | 21440.000000 |
| 40 - 44 | 304534.000000 | 152909.000000 | 151625.000000 | 35345.000000 | 15225.000000 | 20120.000000 | 48949.000000 | 22646.000000 | 26303.000000 | 40404.000000 | 22389.000000 |
| 45 - 49 | 256830.000000 | 128693.000000 | 128137.000000 | 40640.000000 | 14864.000000 | 25776.000000 | 42182.000000 | 18354.000000 | 23828.000000 | 42064.000000 | 23629.000000 |
| 50 - 54 | 204891.000000 | 102428.000000 | 102462.000000 | 50893.000000 | 17671.000000 | 33222.000000 | 37564.000000 | 17368.000000 | 20196.000000 | 29333.000000 | 17285.000000 |
| 55 - 59 | 125039.000000 | 61937.000000 | 63102.000000 | 49513.000000 | 17387.000000 | 32126.000000 | 23351.000000 | 12487.000000 | 10864.000000 | 12764.000000 | 7811.000000 |
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) Total | Numeric | No |
| [Total] (Total) Males | Numeric | No |
| [Total] (Total) Females | Numeric | No |
| [Total] (No Qualification) Total | Numeric | No |
| [Total] (No Qualification) Males | Numeric | No |
| [Total] (No Qualification) Females | Numeric | No |
| [Total] (Primary) Total | Numeric | No |
| [Total] (Primary) Males | Numeric | No |
| [Total] (Primary) Females | Numeric | No |
| [Total] (Lower Secondary) Total | Numeric | No |
| [Total] (Lower Secondary) Males | Numeric | No |
| [Total] (Lower Secondary) Females | Numeric | No |
| [Total] (Secondary) Total | Numeric | No |
| [Total] (Secondary) Males | Numeric | No |
| [Total] (Secondary) Females | Numeric | No |
| [Total] (Upper Secondary) Total | Numeric | No |
| [Total] (Upper Secondary) Males | Numeric | No |
| [Total] (Upper Secondary) Females | Numeric | No |
| [Total] (Polytechnic) Total | Numeric | No |
| [Total] (Polytechnic) Males | Numeric | No |
| [Total] (Polytechnic) Females | Numeric | No |
| [Total] (Other Diploma) Total | Numeric | No |
| [Total] (Other Diploma) Males | Numeric | No |
| [Total] (Other Diploma) Females | Numeric | No |
| [Total] (University) Total | Numeric | No |
| [Total] (University) Males | Numeric | No |
| [Total] (University) Females | Text | No |
| [Chinese] (Total) Total | Numeric | No |
| [Chinese] (Total) Males | Numeric | No |
| [Chinese] (Total) Females | Numeric | No |
| [Chinese] (No Qualification) Total | Numeric | No |
| [Chinese] (No Qualification) Males | Numeric | No |
| [Chinese] (No Qualification) Females | Numeric | No |
| [Chinese] (Primary) Total | Numeric | No |
| [Chinese] (Primary) Males | Numeric | No |
| [Chinese] (Primary) Females | Numeric | No |
| [Chinese] (Lower Secondary) Total | Numeric | No |
| [Chinese] (Lower Secondary) Males | Numeric | No |
| [Chinese] (Lower Secondary) Females | Numeric | No |
| [Chinese] (Secondary) Total | Numeric | No |
| [Chinese] (Secondary) Males | Numeric | No |
| [Chinese] (Secondary) Females | Numeric | No |
| [Chinese] (Upper Secondary) Total | Numeric | No |
| [Chinese] (Upper Secondary) Males | Numeric | No |
| [Chinese] (Upper Secondary) Females | Numeric | No |
| [Chinese] (Polytechnic) Total | Numeric | No |
| [Chinese] (Polytechnic) Males | Numeric | No |
| [Chinese] (Polytechnic) Females | Text | No |
| [Chinese] (Other Diploma) Total | Numeric | No |
| [Chinese] (Other Diploma) Males | Numeric | No |
| [Chinese] (Other Diploma) Females | Numeric | No |
| [Chinese] (University) Total | Text | No |
| [Chinese] (University) Males | Text | No |
| [Chinese] (University) Females | Text | No |
| [Malays] (Total) Total | Numeric | No |
| [Malays] (Total) Males | Numeric | No |
| [Malays] (Total) Females | Numeric | No |
| [Malays] (No Qualification) Total | Numeric | No |
| [Malays] (No Qualification) Males | Numeric | No |
Showing the first 60 of 136 columns. Download the CSV for the full schema.