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Economy

Resident Working Persons Aged 15 Years and Over by Industry, Occupation and Sex (Census of Population 2000)

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 31/03/2016

Update Frequency: 10 years

Survey period: Census of Population 2000

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8923

Last updated 19 days ago (21 Aug 2026)

Data explorer

ResidentWorkingPersonsAged15YearsandOverbyIndustryOccupationandSexCensusofPopulation2000.csv (12 rows, 4.2 KB)

Number
Text
(Total) Total
Numeric
(Total) Senior Officials & Managers
Numeric
(Total) Professionals
Numeric
(Total) Associate Professionals & Technicians
Numeric
(Total) Clerical Workers
Numeric
(Total) Service & Sales Workers
Numeric
(Total) Agricultural & Fishery Workers
Text
(Total) Production Craftsmen & Related Workers
Numeric
(Total) Plant & Machine Operators & Assemblers
Numeric
(Total) Cleaners, Labourers & Related Workers
Numeric
(Total) Workers Not Classifiable By Occupation
Text
(Males) Total
Numeric
(Males) Senior Officials & Managers
Numeric
(Males) Professionals
Numeric
(Males) Associate Professionals & Technicians
Numeric
(Males) Clerical Workers
Numeric
(Males) Service & Sales Workers
Numeric
(Males) Agricultural & Fishery Workers
Text
(Males) Production Craftsmen & Related Workers
Numeric
(Males) Plant & Machine Operators & Assemblers
Numeric
(Males) Cleaners, Labourers & Related Workers
Numeric
(Males) Workers Not Classifiable By Occupation
Text
(Females) Total
Numeric
(Females) Senior Officials & Managers
Numeric
(Females) Professionals
Numeric
(Females) Associate Professionals & Technicians
Numeric
(Females) Clerical Workers
Numeric
(Females) Service & Sales Workers
Numeric
(Females) Agricultural & Fishery Workers
Text
(Females) Production Craftsmen & Related Workers
Text
(Females) Plant & Machine Operators & Assemblers
Numeric
(Females) Cleaners, Labourers & Related Workers
Numeric
(Females) Workers Not Classifiable By Occupation
Text
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)50.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)75.0%
5275225.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)50.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)75.0%
5053025.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)50.0%
(Null)8.3%
(Null)0.0%
(Null)0.0%
(Null)75.0%
222225.0%
Total148257921183515026528336121358818296611581067531787521011495275288948215898086375153928494851068671034975691304375427950530593097528556389012943316410376099124918448315468702222
Goods Producing Industries391674613713246570887421666632872754738276519043na261743525612427748693105904391781688123930712330na1299318810818822194315752241916662434586713na
Manufacturing289661402392626657932324835495na401177631510814na17645133249196323924791423430na33750330054996na1132106990663418685233412065na6367433095819na
Construction90894198915361100558390577na3391054427268na7631318219397070621088485na3362553276538na14581167213912993730292na285115730na
Other Goods Industries*1111912418382900129255987214461008961na8979109367623843604777811437975796na214014816351693283911033164na
Services Producing Industries1090905150464117800212473171422176334286312809598782106527526277391064196209810523438894102476252287579112941949505304631664404655702107239132528738593325234858401572222
Wholesale & Retail Trade2536736465782743732743553655171668150186857344na1481404897351682089111105339811427058167204103na10553215684310716437324483153624109219663241na
Hotels & Restaurants9318488374553113652647038na1539109124585na4740957872251599133226385na11079909983na4577530502301514519420652na43210014602na
Transport & Communications178038172467546276093214114206na48836427410133na13281013117480618865115588368na4621632128263na45228412927408744205835838na26110631870na
Financial Services8715613828120033237426243780na156937835na3484677595877146704622562na156911288na52310606961261770421621218nana26546na
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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_e53cd0365a6a847a0aa4bf12247bf030"
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). Resident Working Persons Aged 15 Years and Over by Industry, Occupation and Sex (Census of Population 2000) (2026) [Dataset]. data.gov.sg. Retrieved September 10, 2026 from https://data.gov.sg/datasets/d_e53cd0365a6a847a0aa4bf12247bf030/view

About this dataset

Contact

feedback@data.gov.sg

Created on

26 Oct 2024

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)