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1213 datasets found

Economy Social

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

Updated about 15 hours 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 working persons who were overseas for more than 6 months.

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

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	2147.8	1171.8	976	395.1	202.2	192.8	497.2	253.8	243.4	519.3	280.7	238.5	736.3	435	301.2
Public Bus Only	353.6	155.3	198.4	72.9	36.2	36.7	64	25.9	38	73.2	28.3	44.8	143.6	64.9	78.8
MRT Only	257.7	110.4	147.3	69.5	30.6	38.9	71.4	30.1	41.2	55.9	22.7	33.2	61	27.1	33.9
MRT & Public Bus Only	533.4	252.2	281.2	154.6	77.1	77.5	127.8	58.1	69.8	108.4	47.8	60.6	142.6	69.2	73.4
Other Combinations Of MRT Or Public Bus	115.5	58.2	57.3	21.7	10.2	11.5	35.4	17.2	18.2	30.9	16	14.9	27.5	14.8	12.7
Taxi Only	28.4	15	13.4	4.7	1.8	2.9	8.2	3.6	4.6	8	4.4	3.6	7.6	5.2	2.4
Car Only	470	319.5	150.5	32.4	19.1	13.3	122.1	77.5	44.6	150	101.7	48.2	165.5	121.2	44.3
Private Chartered Bus/Van Only	58.3	37	21.3	5.4	3	2.4	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	73.2	68.7	4.5	15.1	14.1	0.9	16	14.6	1.5	16.8	15.8	1	25.3	24.2	1.1

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	-
(40 - 49 Years) Total	40_49Years_Total	Numeric	Thousands	-
(40 - 49 Years) Males	40_49Years_Males	Numeric	Thousands	-
(40 - 49 Years) Females	40_49Years_Females	Numeric	Thousands	-
(50 Years & Over) Total	50YearsandOver_Total	Numeric	Thousands	-
(50 Years & Over) Males	50YearsandOver_Males	Numeric	Thousands	-
(50 Years & Over) Females	50YearsandOver_Females	Numeric	Thousands	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_b2adcabcfc9c4352f3086f1a61f77bc0
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_b2adcabcfc9c4352f3086f1a61f77bc0"
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 Working Persons Aged 15 Years and Over by Usual Mode of Transport to Work, Age Group and Sex (General Household Survey 2015) (2025) [Dataset]. data.gov.sg. Retrieved March 12, 2025 from https://data.gov.sg/datasets/d_b2adcabcfc9c4352f3086f1a61f77bc0/view

About this dataset

Contact

feedback@data.gov.sg

Created on

24 Nov 2023

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)

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	2147.8	1171.8	976	395.1	202.2	192.8	497.2	253.8	243.4	519.3	280.7	238.5	736.3	435	301.2
Public Bus Only	353.6	155.3	198.4	72.9	36.2	36.7	64	25.9	38	73.2	28.3	44.8	143.6	64.9	78.8
MRT Only	257.7	110.4	147.3	69.5	30.6	38.9	71.4	30.1	41.2	55.9	22.7	33.2	61	27.1	33.9
MRT & Public Bus Only	533.4	252.2	281.2	154.6	77.1	77.5	127.8	58.1	69.8	108.4	47.8	60.6	142.6	69.2	73.4
Other Combinations Of MRT Or Public Bus	115.5	58.2	57.3	21.7	10.2	11.5	35.4	17.2	18.2	30.9	16	14.9	27.5	14.8	12.7
Taxi Only	28.4	15	13.4	4.7	1.8	2.9	8.2	3.6	4.6	8	4.4	3.6	7.6	5.2	2.4
Car Only	470	319.5	150.5	32.4	19.1	13.3	122.1	77.5	44.6	150	101.7	48.2	165.5	121.2	44.3
Private Chartered Bus/Van Only	58.3	37	21.3	5.4	3	2.4	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	73.2	68.7	4.5	15.1	14.1	0.9	16	14.6	1.5	16.8	15.8	1	25.3	24.2	1.1

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	-
(40 - 49 Years) Total	40_49Years_Total	Numeric	Thousands	-
(40 - 49 Years) Males	40_49Years_Males	Numeric	Thousands	-
(40 - 49 Years) Females	40_49Years_Females	Numeric	Thousands	-
(50 Years & Over) Total	50YearsandOver_Total	Numeric	Thousands	-
(50 Years & Over) Males	50YearsandOver_Males	Numeric	Thousands	-
(50 Years & Over) Females	50YearsandOver_Females	Numeric	Thousands	-

Analyse this dataset with Colab Notebook

1. Copy this dataset ID: d_b2adcabcfc9c4352f3086f1a61f77bc0
2. Click on the button below