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D

Resident Population Aged 15 Years and Over by Highest Qualification Attained, Marital Status, Sex and Ethnic Group (General Household Survey 2005)

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 2026-09-19.

Description

General Household Survey 2005 counts of Singapore residents aged 15 and over by highest qualification attained, marital status, sex, and ethnic group. Demographers and education researchers analyse education–marriage patterns across communities. Adapted from SingStat TableBuilder CT/8688.

Official description

Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/03/2016 Update Frequency: 10 years Survey period: General Household Survey 2005 Footnotes: Note: Data exclude residents who were students. For more information, please refer to the publication on 'General Household Survey 2005, Statistical Release 1: Socio-Demographic and Economic Characteristics' (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/8688

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 2500913.000000 1220737.000000 1280176.000000 591891.000000 325191.000000 266700.000000 1697408.000000 845888.000000 851520.000000 135349.000000 21113.000000
No Qualification 410033.000000 149614.000000 260419.000000 38928.000000 23446.000000 15482.000000 260450.000000 110027.000000 150424.000000 94703.000000 11272.000000
Primary 271602.000000 131362.000000 140240.000000 35797.000000 23195.000000 12602.000000 208538.000000 99830.000000 108708.000000 16220.000000 3804.000000
Lower Secondary 277632.000000 143760.000000 133872.000000 44878.000000 28436.000000 16441.000000 212427.000000 108216.000000 104211.000000 8201.000000 1847.000000
Secondary 534987.000000 257274.000000 277713.000000 124217.000000 67149.000000 57068.000000 381967.000000 180779.000000 201188.000000 9246.000000 2184.000000
Upper Secondary 256278.000000 139452.000000 116826.000000 84254.000000 53091.000000 31163.000000 162294.000000 83129.000000 79165.000000 3285.000000 702.000000
Polytechnic 205066.000000 120199.000000 84867.000000 98285.000000 56820.000000 41465.000000 103705.000000 61946.000000 41759.000000 571.000000 251.000000
Other Diploma 121124.000000 51059.000000 70065.000000 32395.000000 11869.000000 20527.000000 84480.000000 38017.000000 46463.000000 1463.000000 422.000000
University 424191.000000 228017.000000 196174.000000 133137.000000 61185.000000 71951.000000 283546.000000 163944.000000 119602.000000 1662.000000 631.000000

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.