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Economy

Resident Population Aged 15 Years and Over by Place of Birth, Highest Qualification Attained and Sex (Census of Population 2020)

Last updated: 05 Nov 2025, 20:00 SGT

SINGSTAT (Singapore Department of Statistics)

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/17421

Data explorer

ResidentPopulationAged15YearsandOverbyPlaceofBirthHighestQualificationAttainedandSexCensusofPopulation2020.csv (12 rows, 3.1 KB)

Number
Text
(Total) Total
Numeric
(Total) Males
Numeric
(Total) Females
Numeric
(No Qualification) Total
Numeric
(No Qualification) Males
Text
(No Qualification) Females
Text
(Primary) Total
Text
(Primary) Males
Text
(Primary) Females
Text
(Lower Secondary) Total
Numeric
(Lower Secondary) Males
Numeric
(Lower Secondary) Females
Numeric
(Secondary) Total
Numeric
(Secondary) Males
Numeric
(Secondary) Females
Numeric
(Post-Secondary (Non-Tertiary)) Total
Numeric
(Post-Secondary (Non-Tertiary)) Males
Numeric
(Post-Secondary (Non-Tertiary)) Females
Numeric
(Polytechnic Diploma) Total
Numeric
(Polytechnic Diploma) Males
Numeric
(Polytechnic Diploma) Females
Numeric
(Professional Qualification and Other Diploma) Total
Numeric
(Professional Qualification and Other Diploma) Males
Numeric
(Professional Qualification and Other Diploma) Females
Numeric
(University) Total
Numeric
(University) Males
Numeric
(University) Females
Numeric
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)16.7%
(Null)16.7%
(Null)16.7%
(Null)25.0%
(Null)16.7%
(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%
Total3140436150503116354053338211205842132371739128008093832258136128526129611505564227613277952341886190827151059301963181148120815217970876681303021007183488586518598
Singapore2325825116359511622302530321001191529131365416814968392193559105100884584166241948262217982832511646351186162586281583681002601404496072979719643741311668332074
Outside Singapore814611341436473174807892046560324373711193125440645782342541152889403278756153586352619132443433352278020555775212693950582363442176918186524
Malaysia39838116854922983347430128873454426079905117028425041767824825607612442736334290291477414255192481065185974403314645293881292986443764861
Mainland China157443575389990518292551712776434817012647103092969734011718349582221317642408936110643914715015832335412478727033234840356
India9385949538443213779914286420615861475324513011944521022302980521332112001486938411028645045861864630323286830164
Indonesia51143161603498368286966132263730123363593558303439017603141380410422762181687793928276852142257371123914498
Other Asian Countries / Regions913533472656626435142039312223283194047798393940658714265161627322104063561230412570641523354080551142417130942
Europe131789287389177----8033474112561556414122293212586314259754501029373462948
USA and Canada4085261514692525----854122923024319449126755115611244340421131291

Column legend

Title
Column name
Data type
Unit of measure
Description
NumberNumberTextNumber-
(Total) TotalTotal_TotalNumericNumber-
(Total) MalesTotal_MalesNumericNumber-
(Total) FemalesTotal_FemalesNumericNumber-
(No Qualification) TotalNoQualification_TotalNumericNumber-
(No Qualification) MalesNoQualification_MalesTextNumber-
(No Qualification) FemalesNoQualification_FemalesTextNumber-
(Primary) TotalPrimary_TotalTextNumber-
(Primary) MalesPrimary_MalesTextNumber-
(Primary) FemalesPrimary_FemalesTextNumber-
Google colab link
Analyse this dataset with Colab Notebook
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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.

import requests
          
dataset_id = "d_65d0d5b769fdb903fba0dec52e9f08ca"
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 Population Aged 15 Years and Over by Place of Birth, Highest Qualification Attained and Sex (Census of Population 2020) (2025) [Dataset]. data.gov.sg. Retrieved November 14, 2025 from https://data.gov.sg/datasets/d_65d0d5b769fdb903fba0dec52e9f08ca/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)