A Singapore Government Agency Website
Official website links end with .gov.sg
Government agencies communicate via .gov.sg websites (e.g. go.gov.sg/open). Trusted websites

Secure websites use HTTPS

Look for a lock () or https:// as an added precaution. Share sensitive information only on official, secure websites.
82 datasets found for "mode of transport"

Employed Residents Aged 15 Years and Over by Usual Mode of Transport to Work, Gross Monthly Income from Work and Sex (Census of Population 2020)

Updated 18 days ago

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 18/06/2021

Update Frequency: 10 years

Survey period: Census of Population 2020

Footnotes: Note: Data exclude employed persons who were overseas for at least 6 months. Income from work includes employer CPF contributions.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17609

Data explorer

EmployedResidentsAged15YearsandOverbyUsualModeofTransporttoWorkGrossMonthlyIncomefromWorkandSexCensusofPopulation2020.csv (12 rows, 5 KB)

Number
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
Text
($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
Text
($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
Text
($12,000 - $14,999) Total
Numeric
($12,000 - $14,999) Males
Numeric
($12,000 - $14,999) Females
Numeric
($15,000 & Over) Total
Numeric
($15,000 & Over) Males
Numeric
($15,000 & 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)8.3%
(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)0.0%
(Null)0.0%
(Null)0.0%
(Null)8.3%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
Total217745611636011013856135078778605721827987514152713834825958613492112466426416813262613154122144911025611119319039098391920001412707308168190114721610435367898875543614451477690420873560369394389873040753350296562369499835567594307617177511204759729
Public Bus Only32577914217518360330089146761541266703269353976853046225753047146594189202767432927140481887924773110881368516477738190961286158327029979644985298684830603788621528173398427619742302693732363701823851373101
MRT/LRT Only2874261231641642621184461795665255599871156882779911315164843359113658199333282112678201432721210801164112327090661420419082798411099153956544885112426543269949912419057228737404046971549573038191242821410310179
MRT/LRT & Public Bus Only559336258897300440339132051013403644232751036913722733197640297817943449347301688742888039994569262473632190408911890321988309781434316636255741255913015181308725940514805764371621107556265449182519633861921428133608068
Other combinations of MRT/LRT or Public Bus8489342562423305103382412806823337234509127396451631075246876065964046414998930542775028619227713420565026502999477025422228374718381909276214911271232311731150411724111706458329201663
Taxi/Private Hire Car Only651182894136178271517729443902172121814391189224995853224836056396248639105788233334554476161028664396184725493459147719822869117416952891115117392390102413664791203527561080061704630
Car Only4597962998471599499547617333742444913929105202510015636946431878201081177032868206861218337254249191233431938209961094228581191289453302182012110097261341679993352641517595882120308131427166430882770515383920176291029107
Private Chartered Bus/Van Only448832836116522183176310685235335718787347495823896781451622656044369823464546277917673456210813482562165490819251200725131579552086052533572852320512518044481002682320
Lorry/Pickup Only288942587930161451105639557544585116971856737447647860744053457324421422852078206928823104548548-32329429144144-201176254646-49409453312
Motorcycle/Scooter Only7348767155633227052566139662957209091001091208901380912576123312589116489409694876692856235158465395137222292599232927118301703128124011707069166724907865411211114665

Column legend

Title
Column name
Data type
Unit of measure
Description
NumberNumberTextNumber-
(Total) TotalTotal_TotalNumericNumber-
(Total) MalesTotal_MalesNumericNumber-
(Total) FemalesTotal_FemalesNumericNumber-
(Below $1,000) TotalBelow_1_000_TotalNumericNumber-
(Below $1,000) MalesBelow_1_000_MalesNumericNumber-
(Below $1,000) FemalesBelow_1_000_FemalesNumericNumber-
($1,000 - $1,999) Total1_000_1_999_TotalNumericNumber-
($1,000 - $1,999) Males1_000_1_999_MalesNumericNumber-
($1,000 - $1,999) Females1_000_1_999_FemalesNumericNumber-
($2,000 - $2,999) Total2_000_2_999_TotalNumericNumber-
($2,000 - $2,999) Males2_000_2_999_MalesNumericNumber-
($2,000 - $2,999) Females2_000_2_999_FemalesNumericNumber-
($3,000 - $3,999) Total3_000_3_999_TotalNumericNumber-
($3,000 - $3,999) Males3_000_3_999_MalesNumericNumber-
($3,000 - $3,999) Females3_000_3_999_FemalesNumericNumber-
($4,000 - $4,999) Total4_000_4_999_TotalNumericNumber-
($4,000 - $4,999) Males4_000_4_999_MalesNumericNumber-
($4,000 - $4,999) Females4_000_4_999_FemalesNumericNumber-
($5,000 - $5,999) Total5_000_5_999_TotalNumericNumber-
($5,000 - $5,999) Males5_000_5_999_MalesNumericNumber-
($5,000 - $5,999) Females5_000_5_999_FemalesNumericNumber-
($6,000 - $6,999) Total6_000_6_999_TotalNumericNumber-
($6,000 - $6,999) Males6_000_6_999_MalesNumericNumber-
($6,000 - $6,999) Females6_000_6_999_FemalesNumericNumber-
($7,000 - $7,999) Total7_000_7_999_TotalNumericNumber-
($7,000 - $7,999) Males7_000_7_999_MalesNumericNumber-
($7,000 - $7,999) Females7_000_7_999_FemalesTextNumber-
($8,000 - $8,999) Total8_000_8_999_TotalNumericNumber-
($8,000 - $8,999) Males8_000_8_999_MalesNumericNumber-
($8,000 - $8,999) Females8_000_8_999_FemalesNumericNumber-
($9,000 - $9,999) Total9_000_9_999_TotalNumericNumber-
($9,000 - $9,999) Males9_000_9_999_MalesNumericNumber-
($9,000 - $9,999) Females9_000_9_999_FemalesTextNumber-
($10,000 - $10,999) Total10_000_10_999_TotalNumericNumber-
($10,000 - $10,999) Males10_000_10_999_MalesNumericNumber-
($10,000 - $10,999) Females10_000_10_999_FemalesNumericNumber-
($11,000 - $11,999) Total11_000_11_999_TotalNumericNumber-
($11,000 - $11,999) Males11_000_11_999_MalesNumericNumber-
($11,000 - $11,999) Females11_000_11_999_FemalesTextNumber-
($12,000 - $14,999) Total12_000_14_999_TotalNumericNumber-
($12,000 - $14,999) Males12_000_14_999_MalesNumericNumber-
($12,000 - $14,999) Females12_000_14_999_FemalesNumericNumber-
($15,000 & Over) Total15_000andOver_TotalNumericNumber-
($15,000 & Over) Males15_000andOver_MalesNumericNumber-
($15,000 & Over) Females15_000andOver_FemalesNumericNumber-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_68f22b06b300e7844f4a469cec5397b6
  2. 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_68f22b06b300e7844f4a469cec5397b6"
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. (2024). Employed Residents Aged 15 Years and Over by Usual Mode of Transport to Work, Gross Monthly Income from Work and Sex (Census of Population 2020) (2025) [Dataset]. data.gov.sg. Retrieved February 5, 2025 from https://data.gov.sg/datasets/d_68f22b06b300e7844f4a469cec5397b6/view

About this dataset

Contact

feedback@data.gov.sg

Created on

22 Oct 2024

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)