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Resident Working Persons Aged 15 Years and Over by Usual Mode of Transport to Work, Gross Monthly Income from Work and Sex (General Household Survey 2015)

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: Notes: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.Income from work includes employer CPF contributions.Data on income from work have been updated to include Additional MediSave Contributions from employers with the release of the Key Household Income Trends 2025 report in February 2026. For more information, you may refer to the Technical Note on Household Income (https://go.gov.sg/khit2025-tech-note) which explains the concepts and components of our household income coverage.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8342

Last updated 15 days ago (4 Aug 2026)

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_6f1c80a125708707356799c3e666fd81"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Resident Working Persons Aged 15 Years and Over by Usual Mode of Transport to Work, Gross Monthly Income from Work and Sex (General Household Survey 2015)

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

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8342

Last updated 15 days ago (4 Aug 2026)

‌

Data explorer

ResidentWorkingPersonsAged15YearsandOverbyUsualModeofTransporttoWorkGrossMonthlyIncomefromWorkandSexGeneralHouseholdSurvey2015.csv (12 rows, 4.7 KB)

Thousands Text	(Total) Total Numeric	(Total) Males Numeric	(Total) Females Numeric	(Below $1,000) Total Numeric	(Below $1,000) Males Numeric	(Below $1,000) Females Numeric	($1,000 - $1,499) Total Numeric	($1,000 - $1,499) Males Numeric	($1,000 - $1,499) Females Numeric	($1,500 - $1,999) Total Numeric	($1,500 - $1,999) Males Numeric	($1,500 - $1,999) Females Numeric	($2,000 - $2,499) Total Numeric	($2,000 - $2,499) Males Numeric	($2,000 - $2,499) Females Numeric	($2,500 - $2,999) Total Numeric	($2,500 - $2,999) Males Numeric	($2,500 - $2,999) Females Numeric	($3,000 - $3,999) Total Numeric	($3,000 - $3,999) Males Numeric	($3,000 - $3,999) Females Numeric	($4,000 - $4,999) Total Numeric	($4,000 - $4,999) Males Numeric	($4,000 - $4,999) Females Numeric	($5,000 - $5,999) Total Numeric	($5,000 - $5,999) Males Numeric	($5,000 - $5,999) Females Numeric	($6,000 - $6,999) Total Numeric	($6,000 - $6,999) Males Numeric	($6,000 - $6,999) Females Numeric	($7,000 - $7,999) Total Numeric	($7,000 - $7,999) Males Numeric	($7,000 - $7,999) Females Text	($8,000 - $8,999) Total Numeric	($8,000 - $8,999) Males Numeric	($8,000 - $8,999) Females Text	($9,000 - $9,999) Total Numeric	($9,000 - $9,999) Males Numeric	($9,000 - $9,999) Females Text	($10,000 - $10,999) Total Numeric	($10,000 - $10,999) Males Numeric	($10,000 - $10,999) Females Text	($11,000 - $11,999) Total Text	($11,000 - $11,999) Males Text	($11,000 - $11,999) Females Text	($12,000 & Over) Total Numeric	($12,000 & Over) Males Numeric	($12,000 & Over) Females Text
(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%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)8.3%	(Null)0.0%	(Null)0.0%	(Null)8.3%	(Null)0.0%	(Null)0.0%	(Null)16.7%	(Null)0.0%	(Null)0.0%	(Null)16.7%	(Null)8.3%	(Null)8.3%	(Null)25.0%	(Null)0.0%	(Null)0.0%	(Null)8.3%
Total	2113.9	1157.6	956.3	152.3	84.4	67.9	177.6	83.6	94	145.8	73.4	72.4	158.3	82.8	75.5	136.7	68.4	68.3	267.3	138.2	129.1	217.6	112.9	104.7	178.7	97.3	81.4	132.2	73	59.2	103.1	61.7	41.4	84.9	49	36	59.6	34.7	25	57.4	35.5	22	37.2	22.2	15	205	140.5	64.5
Public Bus Only	347.3	152.4	194.9	38	18.7	19.3	50	18.6	31.3	38.6	16.1	22.6	34.1	14.5	19.6	29.4	12.1	17.3	48.5	20.7	27.9	32.3	15.1	17.2	22	9.9	12.1	14.7	6.3	8.4	10.4	5.3	5.1	7.4	3.2	4.2	5.3	2.6	2.7	4.6	2.4	2.2	3.2	1.5	1.7	8.7	5.5	3.1
MRT Only	252	108.3	143.7	14.9	8.4	6.5	15.4	5.5	9.9	13.9	5.6	8.4	16.4	7.2	9.3	16.4	5.9	10.5	37.1	15	22.1	32.7	13	19.7	23.8	9.3	14.5	17.6	6.7	10.9	14.6	6.7	7.9	9.5	4.3	5.2	7.4	3.5	4	7.3	3.9	3.4	4.9	2.1	2.8	20	11.3	8.7
MRT & Public Bus Only	517.4	245.8	271.6	44.5	30.1	14.4	37.1	16	21.1	31.8	13.4	18.4	42	18.3	23.7	39.6	16.5	23.1	78.7	34.9	43.8	62.5	26.9	35.6	49.1	21.3	27.8	34.3	16.5	17.8	25.3	12.7	12.6	19.6	9.9	9.7	12.9	6.8	6.1	9.7	5.6	4.1	5.7	3.1	2.6	24.5	13.8	10.8
Other combinations of MRT or Public Bus	113.5	57.3	56.2	5.7	3.6	2.1	5.4	2.6	2.8	4.9	1.8	3.1	7.2	2.5	4.6	6.1	2.4	3.6	13.5	6.2	7.3	12.8	5.7	7.1	10.3	5.5	4.8	9.1	4.7	4.4	7.6	4	3.6	7	3.8	3.2	4.3	1.9	2.4	3.8	2	1.8	2.4	1.4	0.9	13.5	9.1	4.4
Taxi Only	28.4	15	13.4	1.5	1	0.5	1.8	1.3	0.6	1.9	1.3	0.7	1.3	0.8	0.5	1.1	0.7	0.5	2.6	1.3	1.3	2.7	0.7	2	1.9	0.7	1.2	2.2	1.2	1	1.3	0.5	0.9	1.3	0.5	0.8	1.1	0.5	0.6	1	0.4	0.6	0.6	0.2	0.4	5.8	3.9	2
Car Only	469.4	319.3	150.1	9.3	5.4	3.9	13.4	7.1	6.3	9.6	5	4.6	16.2	10.7	5.5	13.7	8.8	4.9	35.4	21.9	13.5	37.3	24.5	12.9	46.1	32.4	13.7	36.8	24.7	12.1	33.6	24.3	9.3	31.6	21.2	10.4	23.7	16.5	7.2	26.1	17.6	8.4	17.5	11.8	5.6	119.1	87.4	31.7
Private Chartered Bus/Van Only	58.1	36.9	21.2	2.3	1.2	1.1	3.1	1.8	1.3	4.3	2.7	1.6	4.7	3.3	1.5	4.6	3.3	1.4	10	6.5	3.5	9	5.4	3.6	6.1	3.3	2.8	4.2	2.8	1.3	2.3	1.6	0.7	2.4	1.7	0.7	1.2	0.5	0.7	1	0.7	0.3	1	0.8	0.2	2	1.4	0.7
Lorry/Pickup Only	42.8	38.4	4.4	2	1.2	0.9	4.9	3.9	1	4.9	4.4	0.5	5.3	4.9	0.5	5.3	4.7	0.6	8.9	8.4	0.5	4.4	4.2	0.2	2.9	2.7	0.1	2	1.8	0.1	1.1	1.1	-	0.6	0.6	-	0.1	0.1	-	0.1	0.1	-	-	-	-	0.3	0.3	-
Motorcycle/Scooter Only	72.9	68.5	4.4	3.4	3.3	0.1	4.2	3.7	0.5	5.4	5.1	0.3	7	6.7	0.3	6.2	5.7	0.4	13.3	12.5	0.9	11	10.5	0.4	7.6	7.1	0.5	5.2	4.8	0.5	3.7	3.5	0.1	2	1.9	0.1	1	0.9	-	1.1	1	0.1	0.4	0.3	-	1.5	1.4	0.1

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 $1,000) Total	Below_1_000_Total	Numeric	Thousands	-
(Below $1,000) Males	Below_1_000_Males	Numeric	Thousands	-
(Below $1,000) Females	Below_1_000_Females	Numeric	Thousands	-
($1,000 - $1,499) Total	1_000_1_499_Total	Numeric	Thousands	-
($1,000 - $1,499) Males	1_000_1_499_Males	Numeric	Thousands	-
($1,000 - $1,499) Females	1_000_1_499_Females	Numeric	Thousands	-

Resident Working Persons Aged 15 Years and Over by Usual Mode of Transport to Work, Gross Monthly Income from Work and Sex (General Household Survey 2015)

Sample OpenAPI query

About this dataset

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Resident Working Persons Aged 15 Years and Over by Usual Mode of Transport to Work, Gross Monthly Income from Work and Sex (General Household Survey 2015)

Resident Working Persons Aged 15 Years and Over by Usual Mode of Transport to Work, Gross Monthly Income from Work and Sex (General Household Survey 2015)

Sample OpenAPI query

About this dataset

Contact

Created on

Licence

Agency

Citation

Data explorer

ResidentWorkingPersonsAged15YearsandOverbyUsualModeofTransporttoWorkGrossMonthlyIncomefromWorkandSexGeneralHouseholdSurvey2015.csv (12 rows, 4.7 KB)

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Analyse this dataset with Colab Notebook

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