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2334 datasets found

Economy

Resident Students Aged 5 Years and Over by Travelling Time to School, Level of Education Attending and Sex (General Household Survey 2015)

Updated 3 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 exclude students studying from home and students who were overseas for more than 6 months.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8333

Data explorer

ResidentStudentsAged5YearsandOverbyTravellingTimetoSchoolLevelofEducationAttendingandSexGeneralHouseholdSurvey2015.csv (6 rows, 1.5 KB)

Thousands Text	(Total) Total Numeric	(Total) Males Numeric	(Total) Females Numeric	(Pre-Primary) Total Numeric	(Pre-Primary) Males Numeric	(Pre-Primary) Females Numeric	(Primary) Total Numeric	(Primary) Males Numeric	(Primary) 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%
Total	759.6	386.9	372.8	57.1	29.9	27.2	261.2	136.1	125.1	205	105.3	99.7	58.4	30.3	28.1	79.8	41.6	38.2	10.2	4.6	5.5	87.9	38.9	49
Up To 15	289.4	151.3	138.1	40.2	21.2	19	171	90.7	80.4	62.8	31.3	31.4	5.3	2.7	2.6	4.5	2.5	2	0.5	0.3	0.2	5.1	2.6	2.6
16 - 30	221.5	115.6	105.9	14.1	7.3	6.8	69	34.6	34.5	85.4	45.1	40.3	18.3	9.9	8.5	19.5	11	8.4	1.8	1.1	0.7	13.3	6.6	6.7
31 - 45	97	49	48	1.6	0.8	0.8	12.3	6.3	6	31.8	17	14.8	13.5	7.1	6.4	18.2	9	9.2	2.6	1	1.6	17	7.8	9.2
46 - 60	96	46.5	49.5	1	0.5	0.5	7.3	3.5	3.7	19.1	9.2	9.9	14.7	7.3	7.4	25.2	13.2	12	3.5	1.6	1.9	25.3	11.2	14.1
More Than 60	55.7	24.6	31.2	0.2	0	0.2	1.6	1.1	0.5	6	2.7	3.3	6.6	3.4	3.2	12.5	5.9	6.6	1.7	0.7	1	27.1	10.7	16.4

Column legend

Title	Column name	Data type	Unit of measure	Description
Thousands	Thousands	Text	Thousands	-
(Total) Total	Total_Total	Numeric	Thousands	-
(Total) Males	Total_Males	Numeric	Thousands	-
(Total) Females	Total_Females	Numeric	Thousands	-
(Pre-Primary) Total	Pre_Primary_Total	Numeric	Thousands	-
(Pre-Primary) Males	Pre_Primary_Males	Numeric	Thousands	-
(Pre-Primary) Females	Pre_Primary_Females	Numeric	Thousands	-
(Primary) Total	Primary_Total	Numeric	Thousands	-
(Primary) Males	Primary_Males	Numeric	Thousands	-
(Primary) Females	Primary_Females	Numeric	Thousands	-
(Secondary) Total	Secondary_Total	Numeric	Thousands	-
(Secondary) Males	Secondary_Males	Numeric	Thousands	-
(Secondary) Females	Secondary_Females	Numeric	Thousands	-
(Post-Secondary (Non-Tertiary)) Total	Post_Secondary_Non_Tertiary_Total	Numeric	Thousands	-
(Post-Secondary (Non-Tertiary)) Males	Post_Secondary_Non_Tertiary_Males	Numeric	Thousands	-
(Post-Secondary (Non-Tertiary)) Females	Post_Secondary_Non_Tertiary_Females	Numeric	Thousands	-
(Polytechnic) Total	Polytechnic_Total	Numeric	Thousands	-
(Polytechnic) Males	Polytechnic_Males	Numeric	Thousands	-
(Polytechnic) Females	Polytechnic_Females	Numeric	Thousands	-
(Professional Qualification And Other Diploma) Total	ProfessionalQualificationAndOtherDiploma_Total	Numeric	Thousands	-
(Professional Qualification And Other Diploma) Males	ProfessionalQualificationAndOtherDiploma_Males	Numeric	Thousands	-
(Professional Qualification And Other Diploma) Females	ProfessionalQualificationAndOtherDiploma_Females	Numeric	Thousands	-
(University) Total	University_Total	Numeric	Thousands	-
(University) Males	University_Males	Numeric	Thousands	-
(University) Females	University_Females	Numeric	Thousands	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_0bf9d061a76b2a9cd07490468a57fcb9
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_0bf9d061a76b2a9cd07490468a57fcb9"
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 Students Aged 5 Years and Over by Travelling Time to School, Level of Education Attending and Sex (General Household Survey 2015) (2025) [Dataset]. data.gov.sg. Retrieved March 14, 2025 from https://data.gov.sg/datasets/d_0bf9d061a76b2a9cd07490468a57fcb9/view

About this dataset

Contact

feedback@data.gov.sg

Created on

23 Nov 2023

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)

Data explorer

ResidentStudentsAged5YearsandOverbyTravellingTimetoSchoolLevelofEducationAttendingandSexGeneralHouseholdSurvey2015.csv (6 rows, 1.5 KB)

Thousands Text	(Total) Total Numeric	(Total) Males Numeric	(Total) Females Numeric	(Pre-Primary) Total Numeric	(Pre-Primary) Males Numeric	(Pre-Primary) Females Numeric	(Primary) Total Numeric	(Primary) Males Numeric	(Primary) 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%
Total	759.6	386.9	372.8	57.1	29.9	27.2	261.2	136.1	125.1	205	105.3	99.7	58.4	30.3	28.1	79.8	41.6	38.2	10.2	4.6	5.5	87.9	38.9	49
Up To 15	289.4	151.3	138.1	40.2	21.2	19	171	90.7	80.4	62.8	31.3	31.4	5.3	2.7	2.6	4.5	2.5	2	0.5	0.3	0.2	5.1	2.6	2.6
16 - 30	221.5	115.6	105.9	14.1	7.3	6.8	69	34.6	34.5	85.4	45.1	40.3	18.3	9.9	8.5	19.5	11	8.4	1.8	1.1	0.7	13.3	6.6	6.7
31 - 45	97	49	48	1.6	0.8	0.8	12.3	6.3	6	31.8	17	14.8	13.5	7.1	6.4	18.2	9	9.2	2.6	1	1.6	17	7.8	9.2
46 - 60	96	46.5	49.5	1	0.5	0.5	7.3	3.5	3.7	19.1	9.2	9.9	14.7	7.3	7.4	25.2	13.2	12	3.5	1.6	1.9	25.3	11.2	14.1
More Than 60	55.7	24.6	31.2	0.2	0	0.2	1.6	1.1	0.5	6	2.7	3.3	6.6	3.4	3.2	12.5	5.9	6.6	1.7	0.7	1	27.1	10.7	16.4

Column legend

Title	Column name	Data type	Unit of measure	Description
Thousands	Thousands	Text	Thousands	-
(Total) Total	Total_Total	Numeric	Thousands	-
(Total) Males	Total_Males	Numeric	Thousands	-
(Total) Females	Total_Females	Numeric	Thousands	-
(Pre-Primary) Total	Pre_Primary_Total	Numeric	Thousands	-
(Pre-Primary) Males	Pre_Primary_Males	Numeric	Thousands	-
(Pre-Primary) Females	Pre_Primary_Females	Numeric	Thousands	-
(Primary) Total	Primary_Total	Numeric	Thousands	-
(Primary) Males	Primary_Males	Numeric	Thousands	-
(Primary) Females	Primary_Females	Numeric	Thousands	-
(Secondary) Total	Secondary_Total	Numeric	Thousands	-
(Secondary) Males	Secondary_Males	Numeric	Thousands	-
(Secondary) Females	Secondary_Females	Numeric	Thousands	-
(Post-Secondary (Non-Tertiary)) Total	Post_Secondary_Non_Tertiary_Total	Numeric	Thousands	-
(Post-Secondary (Non-Tertiary)) Males	Post_Secondary_Non_Tertiary_Males	Numeric	Thousands	-
(Post-Secondary (Non-Tertiary)) Females	Post_Secondary_Non_Tertiary_Females	Numeric	Thousands	-
(Polytechnic) Total	Polytechnic_Total	Numeric	Thousands	-
(Polytechnic) Males	Polytechnic_Males	Numeric	Thousands	-
(Polytechnic) Females	Polytechnic_Females	Numeric	Thousands	-
(Professional Qualification And Other Diploma) Total	ProfessionalQualificationAndOtherDiploma_Total	Numeric	Thousands	-
(Professional Qualification And Other Diploma) Males	ProfessionalQualificationAndOtherDiploma_Males	Numeric	Thousands	-
(Professional Qualification And Other Diploma) Females	ProfessionalQualificationAndOtherDiploma_Females	Numeric	Thousands	-
(University) Total	University_Total	Numeric	Thousands	-
(University) Males	University_Males	Numeric	Thousands	-
(University) Females	University_Females	Numeric	Thousands	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_0bf9d061a76b2a9cd07490468a57fcb9
2. Click on the button below