A Singapore Government Agency Website
Official website links end with .gov.sg
Government agencies communicate via .gov.sg websites (e.g. go.gov.sg/open). Trusted websites

Secure websites use HTTPS

Look for a lock () or https:// as an added precaution. Share sensitive information only on official, secure websites.
Social

Resident Population Aged 15 Years and Over by Language Literate In, Highest Qualification Attained and Sex (General Household Survey 2015)

Updated 5 days ago

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 09/03/2016

Update Frequency: 10 years

Survey period: General Household Survey 2015

Footnotes: Note: Data pertain to residents who are not attending educational institutions as full-time students. The data include those who are upgrading their qualifications through part-time courses while working. For more information, please refer to the publication on 'General Household Survey 2015' (www.singstat.gov.sg/find-data/search-by-theme/population/education-language-spoken-and-literacy/publications-and-methodology).

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8205

Data explorer

ResidentPopulationAged15YearsandOverbyLanguageLiterateInHighestQualificationAttainedandSexGeneralHouseholdSurvey2015.csv (19 rows, 4.3 KB)

Thousands
Text
(Total) Total
Numeric
(Total) Males
Numeric
(Total) Females
Numeric
(No Qualification) Total
Numeric
(No Qualification) Males
Numeric
(No Qualification) Females
Numeric
(Primary) Total
Numeric
(Primary) Males
Numeric
(Primary) Females
Numeric
(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) Total
Numeric
(Polytechnic) Males
Numeric
(Polytechnic) 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)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%
Total2948.51426.61521.9368.1132.3235.8203.495.1108.3236.5122.2114.3544.8242302.8304176.5127.5268.1164.8103.3215.787.8127.9807.9405.8402.1
Not Literate103.822.78199.82178.82.61.31.30.20.10.100010.40.70000.100.1000
Literate2844.81403.91440.9268.3111.3157200.893.9106.9236.3122.1114.1544.7242302.8303176.2126.8268.1164.8103.3215.787.8127.9807.9405.8402.1
One Language Only811.3387.2424.1214.784.9129.8123.954.669.2104.453.351.2146.566.679.960.333.926.425.618.86.838.317.720.797.557.340.2
English Only287.8168.6119.2115.95.114.88.36.523.8149.870.235.13532.420.711.721.416.84.626.414.611.887.953.234.7
Chinese Only470.8203.7267.1179.273.7105.596.141.854.374.737.437.470.829.940.925.812.313.54.122.111.52.98.68.63.84.8
Malay Only39.412.327.1194.414.610.54.16.34.41.82.73.71.22.51.50.80.80.100.10.100000
Tamil Only9.52.37.24.20.93.320.41.610.10.91.20.40.80.20.10.10.10.100.20.10.10.70.20.5
Non-Official Language Only3.70.33.51.30.11.20.600.60.500.50.600.60.300.30000.20.10.10.30.10.2
Two Languages Only1872.4938.8933.750.624.625.974.337.736.7125.565.859.7372.6164.7207.9230134.995231.1139.192155.262.392.9633.1309.6323.5

Column legend

Title
Column name
Data type
Unit of measure
Description
ThousandsThousandsTextThousands-
(Total) TotalTotal_TotalNumericThousands-
(Total) MalesTotal_MalesNumericThousands-
(Total) FemalesTotal_FemalesNumericThousands-
(No Qualification) TotalNoQualification_TotalNumericThousands-
(No Qualification) MalesNoQualification_MalesNumericThousands-
(No Qualification) FemalesNoQualification_FemalesNumericThousands-
(Primary) TotalPrimary_TotalNumericThousands-
(Primary) MalesPrimary_MalesNumericThousands-
(Primary) FemalesPrimary_FemalesNumericThousands-
(Lower Secondary) TotalLowerSecondary_TotalNumericThousands-
(Lower Secondary) MalesLowerSecondary_MalesNumericThousands-
(Lower Secondary) FemalesLowerSecondary_FemalesNumericThousands-
(Secondary) TotalSecondary_TotalNumericThousands-
(Secondary) MalesSecondary_MalesNumericThousands-
(Secondary) FemalesSecondary_FemalesNumericThousands-
(Post-Secondary (Non-Tertiary)) TotalPost_Secondary_Non_Tertiary_TotalNumericThousands-
(Post-Secondary (Non-Tertiary)) MalesPost_Secondary_Non_Tertiary_MalesNumericThousands-
(Post-Secondary (Non-Tertiary)) FemalesPost_Secondary_Non_Tertiary_FemalesNumericThousands-
(Polytechnic) TotalPolytechnic_TotalNumericThousands-
(Polytechnic) MalesPolytechnic_MalesNumericThousands-
(Polytechnic) FemalesPolytechnic_FemalesNumericThousands-
(Professional Qualification And Other Diploma) TotalProfessionalQualificationAndOtherDiploma_TotalNumericThousands-
(Professional Qualification And Other Diploma) MalesProfessionalQualificationAndOtherDiploma_MalesNumericThousands-
(Professional Qualification And Other Diploma) FemalesProfessionalQualificationAndOtherDiploma_FemalesNumericThousands-
(University) TotalUniversity_TotalNumericThousands-
(University) MalesUniversity_MalesNumericThousands-
(University) FemalesUniversity_FemalesNumericThousands-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_6a67b6bf465b80c12570302b9e678b69
  2. 2. Click on the button below

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_6a67b6bf465b80c12570302b9e678b69"
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. (2023). Resident Population Aged 15 Years and Over by Language Literate In, Highest Qualification Attained and Sex (General Household Survey 2015) (2025) [Dataset]. data.gov.sg. Retrieved January 15, 2025 from https://data.gov.sg/datasets/d_6a67b6bf465b80c12570302b9e678b69/view

About this dataset

Contact

feedback@data.gov.sg

Created on

01 Nov 2023

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)

Dataset usage

64
Views
1
Downloads
1
API calls