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

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 30/06/2026

Update Frequency: 10 years

Survey period: Census of Population 2020

Footnotes: Note: Data exclude employed persons who were full-time students or overseas for at least 6 months. Full-time students are covered in the tables on usual transport to school.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17608

Last updated 2 days ago (7 Sep 2026)

Data explorer

EmployedResidentsAged15YearsandOverbyUsualModeofTransporttoWorkOccupationandSexCensusofPopulation2020.csv (12 rows, 3.9 KB)

Number
Text
(Total) Total
Numeric
(Total) Legislators, Senior Officials & Managers
Numeric
(Total) Professionals
Numeric
(Total) Associate Professionals & Technicians
Numeric
(Total) Clerical Support Workers
Numeric
(Total) Service & Sales Workers
Numeric
(Total) Craftsmen & Related Trades Workers
Numeric
(Total) Plant & Machine Operators & Assemblers
Numeric
(Total) Cleaners, Labourers & Related Workers
Numeric
(Total) Others1/
Numeric
(Males) Total
Numeric
(Males) Legislators, Senior Officials & Managers
Numeric
(Males) Professionals
Numeric
(Males) Associate Professionals & Technicians
Numeric
(Males) Clerical Support Workers
Numeric
(Males) Service & Sales Workers
Numeric
(Males) Craftsmen & Related Trades Workers
Numeric
(Males) Plant & Machine Operators & Assemblers
Numeric
(Males) Cleaners, Labourers & Related Workers
Numeric
(Males) Others1/
Numeric
(Females) Total
Numeric
(Females) Legislators, Senior Officials & Managers
Numeric
(Females) Professionals
Numeric
(Females) Associate Professionals & Technicians
Numeric
(Females) Clerical Support Workers
Numeric
(Females) Service & Sales Workers
Numeric
(Females) Craftsmen & Related Trades Workers
Numeric
(Females) Plant & Machine Operators & Assemblers
Numeric
(Females) Cleaners, Labourers & Related Workers
Numeric
(Females) Others1/
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)8.3%
Total217745635383651559143727820875624750161666147111149575561441163601216682257111223996469391122095257113153568353542061013856137153258480213282161817135292909515576812221938
Public Bus Only32577922820573895837543806581739224162994942510268142175111312389324948924722913721512001207211010618360311689334973342734559352602009429728703162
Rail (MRT/LRT) Only30871745117100249656493521433431400644231646041701316322194044832264647013143163156336165184031177085231775541639184282011911585010629942138
Rail (MRT/LRT) & Public Bus Only5743825742514691713752174671740041281614274382951845726628429972688726208215034324091055611507178741797730809827453780457543959637415952260276720421480
Combination of Rail (MRT/LRT) and/or Public Bus, with Other Modes4855666631308111143465131821518210424613754267073291678259621173163113341558130936672184933726299518134771551184546115287
Taxi/Private Hire Car Only6668115710214141167433291030353663393621452952778238820480949641204125983752074371547888125946865283461831243656171
Car Only45979616663212794283642208452278310990908854201245229984711605176404547115403145301002783352734116521599495058151538289311544382549637532686800
Private Chartered Bus/Van Only4488344136557102554538192644388868368120728361293637296617115711483749727115931621652214772828363833817796891597208845
Lorry/Pickup Only288943070777319213932310619290152606340258792859590279175616576067883119883403016211187401638653125184617-
Motorcycle/Scooter Only734873550760022178454210864629012259384423616715531986560206313321954562301203933342297633235210401546122213185922051064
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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.

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import requests
          
dataset_id = "d_3f4080defb35d3e2e515930b99898c51"
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, Occupation and Sex (Census of Population 2020) (2026) [Dataset]. data.gov.sg. Retrieved September 9, 2026 from https://data.gov.sg/datasets/d_3f4080defb35d3e2e515930b99898c51/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)