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Economy

Employed Residents Aged 15 Years and Over by Planning Region of Workplace, Age Group and Sex (Census of Population 2020)

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 13/08/2024

Update Frequency: 10 years

Survey period: Census of Population 2020

Footnotes: Notes: Data refer to the usual workplace location and not the temporary arrangements due to COVID-19 measures. Others include those who are working from home, overseas, or with no fixed location for work.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17945

Last updated 1 day ago (8 Sep 2026)

Data explorer

EmployedResidentsAged15YearsandOverbyPlanningRegionofWorkplaceAgeGroupandSexCensusofPopulation2020.csv (7 rows, 2.8 KB)

Number
Text
(Total) Total
Numeric
[Total] (Age Group (Years)) Below 25
Numeric
[Total] (Age Group (Years)) 25 - 29
Numeric
[Total] (Age Group (Years)) 30 - 34
Numeric
[Total] (Age Group (Years)) 35 - 39
Numeric
[Total] (Age Group (Years)) 40 - 44
Numeric
[Total] (Age Group (Years)) 45 - 49
Numeric
[Total] (Age Group (Years)) 50 - 54
Numeric
[Total] (Age Group (Years)) 55 - 59
Numeric
[Total] (Age Group (Years)) 60 - 64
Numeric
[Total] (Age Group (Years)) 65 & Over
Numeric
(Males) Total
Numeric
[Males] (Age Group (Years)) Below 25
Numeric
[Males] (Age Group (Years)) 25 - 29
Numeric
[Males] (Age Group (Years)) 30 - 34
Numeric
[Males] (Age Group (Years)) 35 - 39
Numeric
[Males] (Age Group (Years)) 40 - 44
Numeric
[Males] (Age Group (Years)) 45 - 49
Numeric
[Males] (Age Group (Years)) 50 - 54
Numeric
[Males] (Age Group (Years)) 55 - 59
Numeric
[Males] (Age Group (Years)) 60 - 64
Numeric
[Males] (Age Group (Years)) 65 & Over
Numeric
(Females) Total
Numeric
[Females] (Age Group (Years)) Below 25
Numeric
[Females] (Age Group (Years)) 25 - 29
Numeric
[Females] (Age Group (Years)) 30 - 34
Numeric
[Females] (Age Group (Years)) 35 - 39
Numeric
[Females] (Age Group (Years)) 40 - 44
Numeric
[Females] (Age Group (Years)) 45 - 49
Numeric
[Females] (Age Group (Years)) 50 - 54
Numeric
[Females] (Age Group (Years)) 55 - 59
Numeric
[Females] (Age Group (Years)) 60 - 64
Numeric
[Females] (Age Group (Years)) 65 & Over
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%
Total2208358140505239835264464258988253633258046228496216057175383172950117843178562115745131005130349129820138556125969121669101614105143102992761943124090133459128639123814119490102527943887376967807
Central104300853238131920147338137958126513121505973418603669264718934913741837057049674716393558762593044841443168351223977955163334868748717986774023677516220248927428683414232115
East248030178232706827011281752828028145279932578720700170501381991090314757144301523415877163891505213912113941025110983169201231112581129401240311756129401187593056799
North-East16694211459163301803317885180061974418095173431437815669828146956720683728328850899889289834373138511841284503912496619558949897568806899970657158
North15390413563139531467514546167051853617724174611402212719855359493753673138018887596929489969480607365683704070641773626528783088448236776759625354
West3426663147631243348293633638630416113751236341290332565520422424120171691917619717212052411222111218881806016665138443735614074156531661817425174991540114453109738991
Others253808129461932122578240892550128504298313309027985299631762868720120281424315117165941907121614246642166322572775224226729383358972890794338217842663227391
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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_32befe3f2df372112752286864cd3b61"
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 Planning Region of Workplace, Age Group and Sex (Census of Population 2020) (2026) [Dataset]. data.gov.sg. Retrieved September 9, 2026 from https://data.gov.sg/datasets/d_32befe3f2df372112752286864cd3b61/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)