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Economy

Resident University Graduates Aged 15 Years and Over by Field of Study, Place Where Highest Qualification was Attained and Sex (Census of Population 2020)

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 17/06/2021

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/17469

Last updated 4 days ago (5 Sep 2026)

Data explorer

ResidentUniversityGraduatesAged15YearsandOverbyFieldofStudyPlaceWhereHighestQualificationwasAttainedandSexCensusofPopulation2020.csv (13 rows, 3.9 KB)

Number
Text
(Total) Total
Numeric
(Total) Males
Numeric
(Total) Females
Numeric
(Singapore) Total
Numeric
(Singapore) Males
Numeric
(Singapore) Females
Numeric
(Outside Singapore - Total) Total
Numeric
(Outside Singapore - Total) Males
Numeric
(Outside Singapore - Total) Females
Numeric
(Outside Singapore - Australia) Total
Numeric
(Outside Singapore - Australia) Males
Numeric
(Outside Singapore - Australia) Females
Numeric
(Outside Singapore - UK) Total
Numeric
(Outside Singapore - UK) Males
Numeric
(Outside Singapore - UK) Females
Numeric
(Outside Singapore - Malaysia) Total
Numeric
(Outside Singapore - Malaysia) Males
Numeric
(Outside Singapore - Malaysia) Females
Numeric
(Outside Singapore - India) Total
Numeric
(Outside Singapore - India) Males
Numeric
(Outside Singapore - India) Females
Numeric
(Outside Singapore - US) Total
Numeric
(Outside Singapore - US) Males
Numeric
(Outside Singapore - US) Females
Numeric
(Outside Singapore - Mainland China) Total
Numeric
(Outside Singapore - Mainland China) Males
Numeric
(Outside Singapore - Mainland China) Females
Numeric
(Outside Singapore - Others) Total
Numeric
(Outside Singapore - Others) Males
Numeric
(Outside Singapore - Others) Females
Numeric
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
Total1007183488586518598636210303860332350370973184726186247791413844040701653943789827496437801825325527455022081424688389132327315640260611186814193721823418038002
Education470441243734607361279396267311091630407876230874615621247481766841196645117530986613394678721899381151821094611648
Fine & Applied Arts256939904157901325952917968124344613782126151281133426051037156881029351778514364218827111172128535093524517981653
Humanities & Social Sciences11749040051774397659525902506934089514149267466511248940226767315736103300744255645038143689533926292709359884227571087734747403
Mass Communication & Information Science2875010397183531822567361148910526366168644305159927061011495516140533810663199122914075978103306626417494751274
Business & Administration3545501522372023132365139941213710111803752825652123303515074179611759688878709154044395110091232356186705152169136608045651281328419898843411464
Law200499768102819875483750371017449305244124259764660923151294143419424129098191791425366465117348859348511
Natural & Mathematical Sciences671302922037910391951702622169279351219415741447116312840351119391572447316242849543717203717251217147981777934844575326333120
Health Sciences55055171183793733033104832255022022663515387649318184675543922883151135331110421305231107411054836211387413974494010903850
Information Technology8354255110284324573131971137603781123139146717553500525484606305815475568319123769024467043542570181975022661492774622539032322
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Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

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import requests
          
dataset_id = "d_338d4546b871143b33e64d7572a6ca26"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Citation

This dataset can be reused and cited in research publications.

Singapore Department of Statistics. (2024). Resident University Graduates Aged 15 Years and Over by Field of Study, Place Where Highest Qualification was Attained and Sex (Census of Population 2020) (2026) [Dataset]. data.gov.sg. Retrieved September 10, 2026 from https://data.gov.sg/datasets/d_338d4546b871143b33e64d7572a6ca26/view

About this dataset

Contact

feedback@data.gov.sg

Created on

22 Oct 2024

Licence

Free forever for personal or commercial use, under the Open Data Licence.

Agency

SINGSTAT (Singapore Department of Statistics)