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.

Scam alert

Government officers will never ask you to send money or share your details over the phone. When unsure, hang up and call Scamshield at 1799.
 

Resident Working Persons Aged 15 Years and Over by Occupation, Number of Hours Worked and Sex (General Household Survey 2005)

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 28/03/2016

Update Frequency: 10 years

Survey period: General Household Survey 2005

Footnotes: Note: Data exclude national servicemen.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8785

Last updated 1 month ago (20 Jul 2026)

Data explorer

ResidentWorkingPersonsAged15YearsandOverbyOccupationNumberofHoursWorkedandSexGeneralHouseholdSurvey2005.csv (11 rows, 3.3 KB)

Number
Text
(Total) Total
Numeric
(Total) Males
Numeric
(Total) Females
Numeric
(Below 30 Hours) Total
Numeric
(Below 30 Hours) Males
Numeric
(Below 30 Hours) Females
Numeric
(30 - 34 Hours) Total
Text
(30 - 34 Hours) Males
Text
(30 - 34 Hours) Females
Text
(35 - 39 Hours) Total
Numeric
(35 - 39 Hours) Males
Numeric
(35 - 39 Hours) Females
Numeric
(40 - 44 Hours) Total
Numeric
(40 - 44 Hours) Males
Numeric
(40 - 44 Hours) Females
Numeric
(45 - 49 Hours) Total
Numeric
(45 - 49 Hours) Males
Numeric
(45 - 49 Hours) Females
Numeric
(50 - 54 Hours) Total
Numeric
(50 - 54 Hours) Males
Numeric
(50 - 54 Hours) Females
Numeric
(55 - 59 Hours) Total
Numeric
(55 - 59 Hours) Males
Numeric
(55 - 59 Hours) Females
Text
(60 - 64 Hours) Total
Numeric
(60 - 64 Hours) Males
Numeric
(60 - 64 Hours) Females
Numeric
(65 Hours & Over) Total
Numeric
(65 Hours & Over) Males
Numeric
(65 Hours & 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)9.1%
(Null)9.1%
(Null)9.1%
(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)9.1%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
Total161264792504268760575176300994507735383154191996434179152681891156477228755327721932445518161514284019829412210376190758984932626572138066944304363716642412922937194
Senior Officials & Managers216353156644597096295374425512398142497428901792109859442407041873733900238281007234589249489641145161080037162683720564627335486288406646
Professionals204585119898846875154178633692949100519442880138514967570344139315643722922582146473598221314146671108267384344206281258680421297883634614
Associate Professionals & Technicians31766315995815770515440521510224597021233847651832443274139504664717303363976320973187838245205381770812700728154191979912088771115511109014610
Clerical Workers23242355732176691895183081204154611354243096363673120357245629579551520136663785321933671615218621119844227832833364992666133913270
Service & Sales Workers236724127626109098163935231111618199271554856997269043064825724969232894618224556216272472812587121421169662325464280231632411699462473232313924
Agricultural & Fishery Workers12079722351079017nanana39261318015526257180777764136464na1291161335327677
Production Craftsmen & Related Workers110602101853874942583639619248121862951605136124436856335893267264782438020981367212646102647604452308993595763591055710023534
Plant & Machine Operators & Assemblers1735821327914079158704797107333202582738456721432423480693193716132362622373412528172051483323729583832812551767314888278531033295491484
Cleaners, Labourers & Related Workers9666048833478261239445417852573226323100422018492371279401351014430237201208311638834151473194421024481762475131421608535234821870
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_81ddd341b22bf9f0b48f37aad1b7b6c6
  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.

Adding an API key gives you higher rate limits and priority support. Log in to create your API key.

import requests
          
dataset_id = "d_81ddd341b22bf9f0b48f37aad1b7b6c6"
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 Occupation, Number of Hours Worked and Sex (General Household Survey 2005) (2026) [Dataset]. data.gov.sg. Retrieved September 10, 2026 from https://data.gov.sg/datasets/d_81ddd341b22bf9f0b48f37aad1b7b6c6/view

About this dataset

Contact

feedback@data.gov.sg

Created on

24 Oct 2024

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)