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Resident Working Persons Aged 15 Years and Over by Usual Mode of Transport to Work, Age Group and Sex (General Household Survey 2015)

Last updated 19 days ago (4 Jul 2026)

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 30/06/2026

Update Frequency: 10 years

Survey period: General Household Survey 2015

Footnotes: Note: Data exclude working persons who were full-time students or overseas for more than 6 months. Full-time students are covered in the tables on usual transport to school.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8332

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data.gov.sg

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_b2adcabcfc9c4352f3086f1a61f77bc0"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Data explorer

ResidentWorkingPersonsAged15YearsandOverbyUsualModeofTransporttoWorkAgeGroupandSexGeneralHouseholdSurvey2015.csv (12 rows, 1.7 KB)

Thousands Text	(Total) Total Numeric	(Total) Males Numeric	(Total) Females Numeric	(Below 30 Years) Total Numeric	(Below 30 Years) Males Numeric	(Below 30 Years) Females Numeric	(30 - 39 Years) Total Numeric	(30 - 39 Years) Males Numeric	(30 - 39 Years) Females Numeric	(40 - 49 Years) Total Numeric	(40 - 49 Years) Males Numeric	(40 - 49 Years) Females Numeric	(50 Years & Over) Total Numeric	(50 Years & Over) Males Numeric	(50 Years & Over) 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%
Total	2113.9	1157.6	956.3	361.4	188	173.4	497	253.8	243.3	519.2	280.7	238.5	736.2	435	301.2
Public Bus Only	347.3	152.4	194.9	66.5	33.3	33.2	64	25.9	38	73.2	28.3	44.8	143.6	64.9	78.8
MRT Only	252	108.3	143.7	63.8	28.5	35.4	71.3	30.1	41.2	55.9	22.7	33.2	61	27.1	33.9
MRT & Public Bus Only	517.4	245.8	271.6	138.7	70.7	68	127.7	58.1	69.7	108.4	47.8	60.6	142.6	69.2	73.4
Other combinations of MRT or Public Bus	113.5	57.3	56.2	19.6	9.3	10.4	35.4	17.2	18.2	30.9	16	14.9	27.5	14.8	12.7
Taxi Only	28.4	15	13.4	4.6	1.8	2.8	8.2	3.6	4.6	8	4.4	3.6	7.6	5.2	2.4
Car Only	469.4	319.3	150.1	31.8	18.9	12.9	122.1	77.5	44.6	150	101.7	48.2	165.5	121.2	44.3
Private Chartered Bus/Van Only	58.1	36.9	21.2	5.3	3	2.3	13.4	7.9	5.5	16.4	10.7	5.7	23	15.4	7.6
Lorry/Pickup Only	42.8	38.4	4.4	2	1.8	0.2	5.3	4.6	0.7	9.4	8.2	1.2	26.1	23.8	2.3
Motorcycle/Scooter Only	72.9	68.5	4.4	14.8	13.9	0.9	16	14.6	1.5	16.8	15.8	1	25.3	24.2	1.1

Google colab link

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_b2adcabcfc9c4352f3086f1a61f77bc0
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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	-
(Below 30 Years) Total	Below30Years_Total	Numeric	Thousands	-
(Below 30 Years) Males	Below30Years_Males	Numeric	Thousands	-
(Below 30 Years) Females	Below30Years_Females	Numeric	Thousands	-
(30 - 39 Years) Total	30_39Years_Total	Numeric	Thousands	-
(30 - 39 Years) Males	30_39Years_Males	Numeric	Thousands	-
(30 - 39 Years) Females	30_39Years_Females	Numeric	Thousands	-