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D

Resident Population Aged 15 Years and Over by Highest Qualification Attained, Marital Status, Sex and Ethnic Group (Census of Population 2020)

What this data shows

Published by Singapore Department of Statistics. 9 records. Fields include Number, [Total] (Total) Total, [Total] (Total) Males, [Total] (Total) Females (76 columns in total). Last updated 2026-09-05.

Description

Census of Population 2020 tabulation from the Singapore Department of Statistics cross-classifying resident population aged 15 years and over by highest qualification attained, marital status, sex and ethnic group. Marital categories cover single, married, widowed and divorced or separated, reported for the total resident population and separately for Chinese, Malays, Indians and other ethnic groups. Data exclude full-time students but include residents upgrading qualifications through part-time courses. Useful for education, marriage and ethnic disparity research.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 16/06/2021 Update Frequency: 10 years Survey period: Census of Population 2020 Footnotes: Note: Data pertain to residents who were not attending educational institutions as full-time students and include those who were upgrading their qualifications through part-time courses. Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17418

Last updated
Rows
9
Columns
76

Chart

Values are summed where multiple rows share the same category.

Data

Number [Total] (Total) Total [Total] (Total) Males [Total] (Total) Females [Total] (Single) Total [Total] (Single) Males [Total] (Single) Females [Total] (Married) Total [Total] (Married) Males [Total] (Married) Females [Total] (Widowed) Total [Total] (Widowed) Males
Total 3140436.000000 1505031.000000 1635405.000000 775711.000000 396112.000000 379599.000000 2031836.000000 1021909.000000 1009928.000000 183224.000000 32207.000000
No Qualification 333821.000000 120584.000000 213237.000000 32515.000000 19120.000000 13395.000000 188959.000000 84140.000000 104820.000000 95133.000000 11944.000000
Primary 173912.000000 80080.000000 93832.000000 18982.000000 11799.000000 7183.000000 122374.000000 59616.000000 62758.000000 21326.000000 4507.000000
Lower Secondary 258136.000000 128526.000000 129611.000000 31551.000000 18903.000000 12648.000000 188486.000000 97582.000000 90904.000000 18962.000000 4236.000000
Secondary 505564.000000 227613.000000 277952.000000 90731.000000 46031.000000 44700.000000 355374.000000 164295.000000 191079.000000 24572.000000 4865.000000
Post-Secondary (Non-Tertiary) 341886.000000 190827.000000 151059.000000 104968.000000 68442.000000 36526.000000 207348.000000 111916.000000 95432.000000 10148.000000 2526.000000
Polytechnic Diploma 301963.000000 181148.000000 120815.000000 131970.000000 81425.000000 50545.000000 158539.000000 94798.000000 63741.000000 1769.000000 657.000000
Professional Qualification and Other Diploma 217970.000000 87668.000000 130302.000000 51633.000000 20867.000000 30766.000000 150350.000000 62893.000000 87457.000000 4527.000000 826.000000
University 1007183.000000 488586.000000 518598.000000 313360.000000 129524.000000 183836.000000 660405.000000 346669.000000 313736.000000 6786.000000 2647.000000

Preview shows 9 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] (Single) Total Numeric No
[Total] (Single) Males Numeric No
[Total] (Single) Females Numeric No
[Total] (Married) Total Numeric No
[Total] (Married) Males Numeric No
[Total] (Married) Females Numeric No
[Total] (Widowed) Total Numeric No
[Total] (Widowed) Males Numeric No
[Total] (Widowed) Females Numeric No
[Total] (Divorced/Separated) Total Numeric No
[Total] (Divorced/Separated) Males Numeric No
[Total] (Divorced/Separated) Females Numeric No
[Chinese] (Total) Total Numeric No
[Chinese] (Total) Males Numeric No
[Chinese] (Total) Females Numeric No
[Chinese] (Single) Total Numeric No
[Chinese] (Single) Males Numeric No
[Chinese] (Single) Females Numeric No
[Chinese] (Married) Total Numeric No
[Chinese] (Married) Males Numeric No
[Chinese] (Married) Females Numeric No
[Chinese] (Widowed) Total Numeric No
[Chinese] (Widowed) Males Numeric No
[Chinese] (Widowed) Females Numeric No
[Chinese] (Divorced/Separated) Total Numeric No
[Chinese] (Divorced/Separated) Males Numeric No
[Chinese] (Divorced/Separated) Females Numeric No
[Malays] (Total) Total Numeric No
[Malays] (Total) Males Numeric No
[Malays] (Total) Females Numeric No
[Malays] (Single) Total Numeric No
[Malays] (Single) Males Numeric No
[Malays] (Single) Females Numeric No
[Malays] (Married) Total Numeric No
[Malays] (Married) Males Numeric No
[Malays] (Married) Females Numeric No
[Malays] (Widowed) Total Numeric No
[Malays] (Widowed) Males Numeric No
[Malays] (Widowed) Females Numeric No
[Malays] (Divorced/Separated) Total Numeric No
[Malays] (Divorced/Separated) Males Numeric No
[Malays] (Divorced/Separated) Females Numeric No
[Indians] (Total) Total Numeric No
[Indians] (Total) Males Numeric No
[Indians] (Total) Females Numeric No
[Indians] (Single) Total Numeric No
[Indians] (Single) Males Numeric No
[Indians] (Single) Females Numeric No
[Indians] (Married) Total Numeric No
[Indians] (Married) Males Numeric No
[Indians] (Married) Females Numeric No
[Indians] (Widowed) Total Numeric No
[Indians] (Widowed) Males Numeric No
[Indians] (Widowed) Females Numeric No
[Indians] (Divorced/Separated) Total Numeric No
[Indians] (Divorced/Separated) Males Numeric No

Showing the first 60 of 76 columns. Download the CSV for the full schema.