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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_661c632b9ee301ddf915bf4f0f73b704"
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, Monthly Household Income from Work and Sex (General Household Survey 2015) (2025) [Dataset]. data.gov.sg. Retrieved December 17, 2025 from https://data.gov.sg/datasets/d_661c632b9ee301ddf915bf4f0f73b704/view

Data explorer

ResidentWorkingPersonsAged15YearsandOverbyUsualModeofTransporttoWorkMonthlyHouseholdIncomefromWorkandSexGeneralHouseholdSurvey2015.csv (12 rows, 5.6 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 - $1,999) Total Numeric	($1,000 - $1,999) Males Numeric	($1,000 - $1,999) Females Numeric	($2,000 - $2,999) Total Numeric	($2,000 - $2,999) Males Numeric	($2,000 - $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 Numeric	($8,000 - $8,999) Total Numeric	($8,000 - $8,999) Males Numeric	($8,000 - $8,999) Females Numeric	($9,000 - $9,999) Total Numeric	($9,000 - $9,999) Males Numeric	($9,000 - $9,999) Females Numeric	($10,000 - $10,999) Total Numeric	($10,000 - $10,999) Males Numeric	($10,000 - $10,999) Females Numeric	($11,000 - $11,999) Total Numeric	($11,000 - $11,999) Males Numeric	($11,000 - $11,999) Females Numeric	($12,000 - $12,999) Total Numeric	($12,000 - $12,999) Males Numeric	($12,000 - $12,999) Females Numeric	($13,000 - $13,999) Total Numeric	($13,000 - $13,999) Males Numeric	($13,000 - $13,999) Females Numeric	($14,000 - $14,999) Total Numeric	($14,000 - $14,999) Males Numeric	($14,000 - $14,999) Females Numeric	($15,000 - $17,499) Total Numeric	($15,000 - $17,499) Males Numeric	($15,000 - $17,499) Females Numeric	($17,500 - $19,999) Total Numeric	($17,500 - $19,999) Males Numeric	($17,500 - $19,999) Females Numeric	(20,000 & Over) Total Numeric	(20,000 & Over) Males Numeric	(20,000 & 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%	(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)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	25.2	12.3	12.9	79.1	45.9	33.2	94.9	54.3	40.6	100.7	57	43.7	119.9	67.5	52.4	123.7	67.8	55.9	137.7	75.9	61.8	132.4	73.9	58.6	135	72.8	62.3	125.5	66.5	59	113.6	62.1	51.6	107	57.1	49.9	97.9	52.3	45.6	85.1	45.1	40	79.2	43	36.1	149.2	79.8	69.4	111.5	59.6	51.9	330.3	179	151.2
Public Bus Only	353.6	155.3	198.4	7	2.8	4.2	24.3	12.3	12	24	11	13	23.1	10.8	12.3	25.1	11.6	13.5	24.4	10.8	13.6	27.8	12.5	15.3	27.3	12.5	14.8	23.1	9.1	14	20.1	8.3	11.8	17	7	10	18.3	8.1	10.2	13.2	5.8	7.3	12.5	4.7	7.8	10.6	4.5	6.1	16.9	6.8	10.2	12.4	5.3	7.1	26.6	11.4	15.1
MRT Only	257.7	110.4	147.3	2.4	1.1	1.3	6.8	3.1	3.7	8.8	4.7	4.1	11.7	5.6	6.1	13.2	6.4	6.8	14	6.2	7.9	16.8	7.3	9.5	14.7	6.8	7.9	17.6	7.1	10.5	15.9	6	9.9	16.1	7.4	8.7	13	4.9	8.1	10.9	3.9	6.9	10.7	4.9	5.8	10.2	3.8	6.4	20.1	8	12.2	16	7	9	39	16.3	22.7
MRT & Public Bus Only	533.4	252.2	281.2	6.4	3	3.4	15.2	8.5	6.7	22.3	11.5	10.8	27	13.7	13.2	31.7	15.3	16.4	34	16.4	17.6	36.3	17.2	19.1	35.5	16.9	18.6	38.1	18.6	19.5	36.3	17.4	18.9	30.2	14.1	16.1	31	14.9	16	26	11.8	14.2	22.1	10.2	11.9	20.2	9.6	10.6	37.3	17	20.4	26.5	11.9	14.6	57.3	24.3	33
Other Combinations Of MRT Or Public Bus	115.5	58.2	57.3	0.4	0.2	0.2	2.5	1.4	1.1	3.1	1.5	1.5	3.9	2.4	1.6	5.9	3	3	5.1	2.9	2.2	7.2	4.3	2.8	6.6	3.5	3.1	7.6	3.8	3.8	6.8	3.2	3.6	7.2	3.7	3.4	5.2	2.5	2.7	6.1	3	3.1	5.8	2.9	2.9	5.2	2.8	2.4	10.2	4.6	5.6	7.6	3.5	4.1	19.1	9	10.1
Taxi Only	28.4	15	13.4	0.1	0.1	0	0.7	0.4	0.4	1	0.7	0.4	1.1	0.5	0.5	0.9	0.4	0.5	1.8	1	0.7	1.6	1.2	0.5	1.6	1	0.6	2	0.9	1.1	1.2	0.5	0.7	1.2	0.5	0.7	1.8	0.8	1.1	1.2	0.6	0.7	1.1	0.6	0.5	1.1	0.6	0.5	1.8	1	0.8	1.9	0.8	1.1	6	3.4	2.6
Car Only	470	319.5	150.5	1.2	0.8	0.4	3.6	2.3	1.3	6.5	4.3	2.2	8.6	5.9	2.8	12.6	9	3.7	14.8	10.8	4	18.2	13.1	5.1	19.6	14.4	5.2	20.7	14.8	5.9	22.8	16.3	6.5	23.2	16.2	6.9	21.8	15.3	6.5	25.5	17.5	8.1	20	13.8	6.2	20.8	14.4	6.4	44.5	30.3	14.2	34.3	22.5	11.9	151.2	97.9	53.3
Private Chartered Bus/Van Only	58.3	37	21.3	0.5	0.4	0.1	1.8	1.2	0.7	3.4	2.4	0.9	3.6	2.7	0.9	4	3.1	0.9	4.5	3	1.5	5.5	3.8	1.7	3.9	2.4	1.6	4.3	2.8	1.5	3.4	2.1	1.3	3	1.9	1.1	3.4	2.1	1.3	2.6	1.3	1.3	2.4	1.2	1.2	1.9	0.9	0.9	3.6	2.5	1.2	2.1	1.5	0.6	4.3	1.7	2.5
Lorry/Pickup Only	42.8	38.4	4.4	0.5	0.4	0.1	2	1.7	0.3	3.8	3.3	0.5	3.5	3.3	0.3	4.1	3.7	0.4	3.5	3.3	0.2	3.9	3.4	0.6	3.9	3.4	0.4	3.6	3.5	0.1	2.3	2.1	0.2	2.6	2.4	0.3	2.3	1.9	0.4	1.3	1.2	0.1	0.8	0.7	0.1	0.9	0.7	0.2	1.8	1.6	0.2	0.8	0.7	0	1.3	1.2	0
Motorcycle/Scooter Only	73.2	68.7	4.5	0.6	0.5	0.1	2.9	2.8	0.1	3.6	3.5	0.2	4.3	4.2	0.1	5.9	5.7	0.2	6	5.5	0.5	5.7	5.2	0.4	5.7	5.5	0.2	6.3	5.8	0.5	5.3	5	0.3	4.2	4	0.2	3.6	3.2	0.4	3.4	3.2	0.2	3.2	3	0.2	2.3	2.2	0.1	3.7	3.5	0.2	2.7	2.4	0.3	3.9	3.7	0.3

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 - $1,999) Total	1_000_1_999_Total	Numeric	Thousands	-
($1,000 - $1,999) Males	1_000_1_999_Males	Numeric	Thousands	-
($1,000 - $1,999) Females	1_000_1_999_Females	Numeric	Thousands	-

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

Sample OpenAPI query

Citation

About this dataset

Contact

Created on

Licence

Agency

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

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

Sample OpenAPI query

Citation

About this dataset

Contact

Created on

Licence

Agency

Data explorer

ResidentWorkingPersonsAged15YearsandOverbyUsualModeofTransporttoWorkMonthlyHouseholdIncomefromWorkandSexGeneralHouseholdSurvey2015.csv (12 rows, 5.6 KB)

Column legend

Analyse this dataset with Colab Notebook