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Resident Students Aged 5 Years and Over by Usual Mode of Transport to School, Monthly Household Income from Work and Sex (General Household Survey 2015)

Updated 25 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: Notes:Data exclude students who were overseas for more than 6 months.Income from work includes employer CPF contributions.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8341

Data explorer

ResidentStudentsAged5YearsandOverbyUsualModeofTransporttoSchoolMonthlyHouseholdIncomefromWorkandSexGeneralHouseholdSurvey2015.csv (9 rows, 4.6 KB)

Thousands Text	(Total) Total Numeric	(Total) Males Numeric	(Total) Females Numeric	(No Working Person) Total Numeric	(No Working Person) Males Numeric	(No Working Person) 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%	(Null)0.0%	(Null)0.0%	(Null)0.0%
Total	761.6	387.9	373.7	15.9	7.9	8	6.8	3.7	3.1	25.6	13.4	12.2	38.1	19.9	18.2	42	22	20.1	49.4	22.4	27	45.9	22.9	23	48.1	26	22.1	49.3	25	24.3	47.7	24.4	23.3	43.1	22.1	21	38.5	19.3	19.2	34.1	18.3	15.8	31.5	15	16.5	21.9	11.4	10.5	24.5	13.1	11.3	44.9	23.9	21.1	33.3	16.8	16.5	121	60.5	60.5
Public Bus Only	179	92.3	86.7	4.3	2.3	2	2.3	1.2	1.1	10.1	5.3	4.8	12.1	6.9	5.2	13.3	7.2	6.1	14.9	6.8	8.1	13.1	6.5	6.7	12.5	6.9	5.6	14	7.4	6.6	12.7	6.4	6.2	9.2	4.5	4.6	9.1	4.5	4.6	7.4	4.1	3.3	5.8	3.1	2.7	4.4	2.4	2	5.2	2.4	2.7	7.3	4	3.3	5	2.5	2.6	16.4	8.1	8.3
MRT Only	48.6	26.6	21.9	0.7	0.3	0.4	0.4	0.2	0.2	1.6	0.9	0.7	2.1	1.2	0.9	2.9	1.8	1.1	3.4	1.9	1.5	3.1	1.7	1.4	3.2	1.6	1.6	2.9	1.7	1.2	3.3	1.6	1.7	3	1.9	1.1	2.3	1.2	1.1	2.2	1.1	1.1	2.7	1.3	1.4	1.5	0.9	0.6	1.5	0.8	0.7	2.7	1.4	1.3	2.1	1.1	1	7.1	4	3.1
MRT & Public Bus Only	157.8	75.9	81.9	3.2	1.8	1.4	1.7	0.9	0.8	4.8	2.2	2.6	8.3	3.8	4.5	8.9	4.7	4.1	11.6	4.7	6.8	10.4	4.7	5.7	10.2	5.4	4.8	9.8	3.9	5.9	10.2	5.1	5.1	9.9	4.8	5.1	8	4.1	3.9	7.8	4	3.8	6.7	3.1	3.7	4.6	1.9	2.7	5.1	2.6	2.5	9.5	5.1	4.4	6.7	3.4	3.3	20.4	9.6	10.8
Other Combinations Of MRT Or Public Bus	34.4	18.1	16.3	0.8	0.5	0.3	0.3	0.2	0.1	0.5	0.2	0.3	1.4	0.7	0.7	1.2	0.5	0.7	1.5	0.6	0.8	1.2	0.7	0.5	1.2	0.6	0.6	1.8	0.8	1	2.1	1.1	1	1.6	0.8	0.8	1.9	1	1	1.4	0.8	0.6	1.5	0.7	0.8	1.2	0.8	0.5	1.2	0.8	0.4	2.7	1.5	1.2	2.3	1.2	1.1	8.5	4.6	3.9
Car Only	82.7	40.3	42.4	1.7	0.7	1.1	0.3	0.1	0.2	0.9	0.4	0.4	1.7	0.6	1.1	1.9	0.7	1.1	2	1.1	0.9	2.4	1	1.3	2.4	1.4	1	2.6	1.4	1.1	2.8	1.4	1.4	3.4	1.7	1.7	3.6	1.9	1.7	3.6	1.8	1.8	3.6	1.9	1.8	2.8	1.5	1.3	3.2	1.7	1.5	7.2	3.6	3.5	6.7	2.9	3.8	30	14.4	15.6
Private Chartered Bus/Van Only	64.6	31.3	33.3	1	0.5	0.5	0.1	0.1	0	1	0.6	0.4	1.7	0.9	0.8	2.2	0.9	1.3	1.7	0.6	1.1	2.1	1.3	0.8	3	1.3	1.7	3.5	1.6	2	3	1.7	1.4	2.6	1.1	1.5	2.9	1.5	1.3	2.7	1.2	1.5	3.1	1.3	1.8	1.8	0.8	1	2.1	1.2	0.8	5.5	2.6	3	3.3	1.5	1.9	21.1	10.6	10.5
Others	10.8	7.2	3.7	0.2	0.2	0	0	0	0	0.8	0.7	0.1	0.9	0.4	0.5	0.9	0.6	0.4	0.8	0.5	0.4	0.8	0.5	0.3	0.7	0.7	0.1	0.9	0.8	0.1	0.9	0.5	0.4	0.6	0.4	0.2	0.3	0	0.2	0.3	0.2	0	0.4	0.1	0.2	0.3	0.3	0	0.4	0.3	0.1	0.4	0.4	0	0.3	0	0.2	0.9	0.5	0.3
No Transport Required	183.8	96.2	87.6	4	1.6	2.4	1.6	0.9	0.7	5.9	3.1	2.8	9.9	5.3	4.6	10.9	5.6	5.3	13.6	6.3	7.3	12.8	6.6	6.2	14.9	8.1	6.8	13.8	7.4	6.4	12.7	6.7	6	12.8	6.8	6	10.4	5.2	5.3	8.7	5	3.7	7.5	3.5	4.1	5.3	2.8	2.5	5.8	3.2	2.5	9.7	5.3	4.4	6.8	4.2	2.6	16.6	8.6	8

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	-
(No Working Person) Total	NoWorkingPerson_Total	Numeric	Thousands	-
(No Working Person) Males	NoWorkingPerson_Males	Numeric	Thousands	-
(No Working Person) Females	NoWorkingPerson_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	-
($2,000 - $2,999) Total	2_000_2_999_Total	Numeric	Thousands	-
($2,000 - $2,999) Males	2_000_2_999_Males	Numeric	Thousands	-
($2,000 - $2,999) Females	2_000_2_999_Females	Numeric	Thousands	-
($3,000 - $3,999) Total	3_000_3_999_Total	Numeric	Thousands	-
($3,000 - $3,999) Males	3_000_3_999_Males	Numeric	Thousands	-
($3,000 - $3,999) Females	3_000_3_999_Females	Numeric	Thousands	-
($4,000 - $4,999) Total	4_000_4_999_Total	Numeric	Thousands	-
($4,000 - $4,999) Males	4_000_4_999_Males	Numeric	Thousands	-
($4,000 - $4,999) Females	4_000_4_999_Females	Numeric	Thousands	-
($5,000 - $5,999) Total	5_000_5_999_Total	Numeric	Thousands	-
($5,000 - $5,999) Males	5_000_5_999_Males	Numeric	Thousands	-
($5,000 - $5,999) Females	5_000_5_999_Females	Numeric	Thousands	-
($6,000 - $6,999) Total	6_000_6_999_Total	Numeric	Thousands	-
($6,000 - $6,999) Males	6_000_6_999_Males	Numeric	Thousands	-
($6,000 - $6,999) Females	6_000_6_999_Females	Numeric	Thousands	-
($7,000 - $7,999) Total	7_000_7_999_Total	Numeric	Thousands	-
($7,000 - $7,999) Males	7_000_7_999_Males	Numeric	Thousands	-
($7,000 - $7,999) Females	7_000_7_999_Females	Numeric	Thousands	-
($8,000 - $8,999) Total	8_000_8_999_Total	Numeric	Thousands	-
($8,000 - $8,999) Males	8_000_8_999_Males	Numeric	Thousands	-
($8,000 - $8,999) Females	8_000_8_999_Females	Numeric	Thousands	-
($9,000 - $9,999) Total	9_000_9_999_Total	Numeric	Thousands	-
($9,000 - $9,999) Males	9_000_9_999_Males	Numeric	Thousands	-
($9,000 - $9,999) Females	9_000_9_999_Females	Numeric	Thousands	-
($10,000 - $10,999) Total	10_000_10_999_Total	Numeric	Thousands	-
($10,000 - $10,999) Males	10_000_10_999_Males	Numeric	Thousands	-
($10,000 - $10,999) Females	10_000_10_999_Females	Numeric	Thousands	-
($11,000 - $11,999) Total	11_000_11_999_Total	Numeric	Thousands	-
($11,000 - $11,999) Males	11_000_11_999_Males	Numeric	Thousands	-
($11,000 - $11,999) Females	11_000_11_999_Females	Numeric	Thousands	-
($12,000 - $12,999) Total	12_000_12_999_Total	Numeric	Thousands	-
($12,000 - $12,999) Males	12_000_12_999_Males	Numeric	Thousands	-
($12,000 - $12,999) Females	12_000_12_999_Females	Numeric	Thousands	-
($13,000 - $13,999) Total	13_000_13_999_Total	Numeric	Thousands	-
($13,000 - $13,999) Males	13_000_13_999_Males	Numeric	Thousands	-
($13,000 - $13,999) Females	13_000_13_999_Females	Numeric	Thousands	-
($14,000 - $14,999) Total	14_000_14_999_Total	Numeric	Thousands	-
($14,000 - $14,999) Males	14_000_14_999_Males	Numeric	Thousands	-
($14,000 - $14,999) Females	14_000_14_999_Females	Numeric	Thousands	-
($15,000 - $17,499) Total	15_000_17_499_Total	Numeric	Thousands	-
($15,000 - $17,499) Males	15_000_17_499_Males	Numeric	Thousands	-
($15,000 - $17,499) Females	15_000_17_499_Females	Numeric	Thousands	-
($17,500 - $19,999) Total	17_500_19_999_Total	Numeric	Thousands	-
($17,500 - $19,999) Males	17_500_19_999_Males	Numeric	Thousands	-
($17,500 - $19,999) Females	17_500_19_999_Females	Numeric	Thousands	-
($20,000 & Over) Total	20_000andOver_Total	Numeric	Thousands	-
($20,000 & Over) Males	20_000andOver_Males	Numeric	Thousands	-
($20,000 & Over) Females	20_000andOver_Females	Numeric	Thousands	-

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_1add3124ae6bbd1764f594f07af0c33e"
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 Usual Mode of Transport to School, Monthly Household Income from Work and Sex (General Household Survey 2015) (2025) [Dataset]. data.gov.sg. Retrieved February 5, 2025 from https://data.gov.sg/datasets/d_1add3124ae6bbd1764f594f07af0c33e/view

Resident Students Aged 5 Years and Over by Usual Mode of Transport to School, Monthly Household Income from Work and Sex (General Household Survey 2015)

Data explorer

ResidentStudentsAged5YearsandOverbyUsualModeofTransporttoSchoolMonthlyHouseholdIncomefromWorkandSexGeneralHouseholdSurvey2015.csv (9 rows, 4.6 KB)

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Analyse this dataset with Colab Notebook

Sample OpenAPI query

Citation

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