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Employed Residents Aged 15 Years and Over by Age Group, Marital Status, Sex and Ethnic Group (Census of Population 2020)

Updated 7 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

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17547

Data explorer

EmployedResidentsAged15YearsandOverbyAgeGroupMaritalStatusSexandEthnicGroupCensusofPopulation2020.csv (13 rows, 8.5 KB)

Number
Text
[Total] (Total) Total
Numeric
[Total] (Total) Males
Numeric
[Total] (Total) Females
Numeric
[Total] (Single) Total
Numeric
[Total] (Single) Males
Numeric
[Total] (Single) Females
Numeric
[Total] (Married) Total
Numeric
[Total] (Married) Males
Numeric
[Total] (Married) Females
Numeric
[Total] (Widowed) Total
Text
[Total] (Widowed) Males
Text
[Total] (Widowed) Females
Text
[Total] (Divorced/Separated) Total
Text
[Total] (Divorced/Separated) Males
Text
[Total] (Divorced/Separated) Females
Text
[Chinese] (Total) Total
Numeric
[Chinese] (Total) Males
Numeric
[Chinese] (Total) Females
Numeric
[Chinese] (Single) Total
Numeric
[Chinese] (Single) Males
Numeric
[Chinese] (Single) Females
Numeric
[Chinese] (Married) Total
Numeric
[Chinese] (Married) Males
Text
[Chinese] (Married) Females
Numeric
[Chinese] (Widowed) Total
Text
[Chinese] (Widowed) Males
Text
[Chinese] (Widowed) Females
Text
[Chinese] (Divorced/Separated) Total
Text
[Chinese] (Divorced/Separated) Males
Text
[Chinese] (Divorced/Separated) Females
Text
[Malays] (Total) Total
Numeric
[Malays] (Total) Males
Numeric
[Malays] (Total) Females
Numeric
[Malays] (Single) Total
Numeric
[Malays] (Single) Males
Numeric
[Malays] (Single) Females
Numeric
[Malays] (Married) Total
Text
[Malays] (Married) Males
Text
[Malays] (Married) Females
Text
[Malays] (Widowed) Total
Text
[Malays] (Widowed) Males
Text
[Malays] (Widowed) Females
Text
[Malays] (Divorced/Separated) Total
Text
[Malays] (Divorced/Separated) Males
Text
[Malays] (Divorced/Separated) Females
Text
[Indians] (Total) Total
Numeric
[Indians] (Total) Males
Numeric
[Indians] (Total) Females
Numeric
[Indians] (Single) Total
Numeric
[Indians] (Single) Males
Numeric
[Indians] (Single) Females
Numeric
[Indians] (Married) Total
Numeric
[Indians] (Married) Males
Numeric
[Indians] (Married) Females
Text
[Indians] (Widowed) Total
Text
[Indians] (Widowed) Males
Text
[Indians] (Widowed) Females
Text
[Indians] (Divorced/Separated) Total
Text
[Indians] (Divorced/Separated) Males
Text
[Indians] (Divorced/Separated) Females
Text
[Others] (Total) Total
Numeric
[Others] (Total) Males
Numeric
[Others] (Total) Females
Numeric
[Others] (Single) Total
Numeric
[Others] (Single) Males
Numeric
[Others] (Single) Females
Numeric
[Others] (Married) Total
Text
[Others] (Married) Males
Text
[Others] (Married) Females
Text
[Others] (Widowed) Total
Text
[Others] (Widowed) Males
Text
[Others] (Widowed) Females
Text
[Others] (Divorced/Separated) Total
Text
[Others] (Divorced/Separated) Males
Text
[Others] (Divorced/Separated) Females
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)15.4%
(Null)15.4%
(Null)15.4%
(Null)7.7%
(Null)7.7%
(Null)7.7%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)7.7%
(Null)0.0%
(Null)15.4%
(Null)15.4%
(Null)15.4%
(Null)7.7%
(Null)7.7%
(Null)7.7%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)7.7%
(Null)7.7%
(Null)7.7%
(Null)15.4%
(Null)30.8%
(Null)15.4%
(Null)7.7%
(Null)7.7%
(Null)7.7%
(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)7.7%
(Null)23.1%
(Null)30.8%
(Null)23.1%
(Null)7.7%
(Null)15.4%
(Null)7.7%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)7.7%
(Null)7.7%
(Null)7.7%
(Null)23.1%
(Null)46.2%
(Null)23.1%
(Null)15.4%
(Null)15.4%
(Null)23.1%
Total2208358117843110299276361673228143133531423888804248619640422351049131745106068408796518916829478761578067915043372481952561421069034589607479426314287710237187814930645475042666421540401126027911745728333891663851010596532655531578397515587567599121897801120837769739585219041768113662485561510634508107334349064354555186898936152328371312869886140518462802123825747129618326810142254
15 - 192543117102832925372170858288581741------177341199357401769211993569941-41------428227181564428227181564---------24271620807241016038071717-------989771218989771218---------
20 - 2411507561460536151104125972050692430716692638---3567228476984404193656474956397363522017966621134---232212112559114274113172367713369103081796854941---1195168940149974404883548843952561114447---5-530991770132929441732121215538117------
25 - 29239835115745124090178705911648754159122238973522557124419526721280177016838039321413845368623698293745214799226542512131086368718401592119118968249611427210689145136668784513-136722504221825589459310124036849555456552059359719-191783814144051806259828881419146915013721130---1515-
30 - 342644641310051334599834751941464061604027711583287135617555801889369120160197848103753817374228639451116295542476204787612634821254222836439201291631094445645379925666141011156525-251304383921195761048390935655316924861335370766277---568239329684825444304151084167050881691339724-2422613213
35 - 3925898813034912863954586273372725019269398606940876051035021110343046800194870966559821545955226422331414096770805701623246126476243148447631170174611370949562809214724094138841021066105620557591296233921250710885264414501194197091071689921283395912309603955637265830103143659579243201472288-8851389425
40 - 442536331298201238144233019355229751960691050279104211332109231410252288874192503953569714736425161112031514482675282695447761566201047538076669223711227510096314618271319171489702744620916192186973011402720216556106461757982775239941496590301202892133258275011556563359241002435567101015078502228919425110316
45 - 49258046138556119490375051715820347200666114452862142440407203317436654010896195778100911948673242914362180671486318147467156159825713411312048178303241471364610501264015761065188911115677353915633522258581367260111725987511458774684228071577970283137423914346338011211067405371978446532103386042429513819119657233424
50 - 54228496125969102527289431341815525178810105136736743448816263217295659910696173009925548045524687109271376013360576224573812142508163412575489576802583114591112402013133867520338120728266783216566269896517332094213641730114678066611755212178537543992347148456691887145183353177734842973154662265385-85538173364
55 - 5921605712166994388256261127114355167506102521649866634145151831629164279864165440900137542821563912912434127609750365257344671035343211802481369892642516444998120261103924204361417362641265243102226989261772182641121170531464716748146739866480775411264113735178565928400119265723242484789344613431496188418170248

Column legend

Title
Column name
Data type
Unit of measure
Description
NumberNumberTextNumber-
[Total] (Total) TotalTotal_Total_TotalNumericNumber-
[Total] (Total) MalesTotal_Total_MalesNumericNumber-
[Total] (Total) FemalesTotal_Total_FemalesNumericNumber-
[Total] (Single) TotalTotal_Single_TotalNumericNumber-
[Total] (Single) MalesTotal_Single_MalesNumericNumber-
[Total] (Single) FemalesTotal_Single_FemalesNumericNumber-
[Total] (Married) TotalTotal_Married_TotalNumericNumber-
[Total] (Married) MalesTotal_Married_MalesNumericNumber-
[Total] (Married) FemalesTotal_Married_FemalesNumericNumber-
[Total] (Widowed) TotalTotal_Widowed_TotalTextNumber-
[Total] (Widowed) MalesTotal_Widowed_MalesTextNumber-
[Total] (Widowed) FemalesTotal_Widowed_FemalesTextNumber-
[Total] (Divorced/Separated) TotalTotal_Divorced_Separated_TotalTextNumber-
[Total] (Divorced/Separated) MalesTotal_Divorced_Separated_MalesTextNumber-
[Total] (Divorced/Separated) FemalesTotal_Divorced_Separated_FemalesTextNumber-
[Chinese] (Total) TotalChinese_Total_TotalNumericNumber-
[Chinese] (Total) MalesChinese_Total_MalesNumericNumber-
[Chinese] (Total) FemalesChinese_Total_FemalesNumericNumber-
[Chinese] (Single) TotalChinese_Single_TotalNumericNumber-
[Chinese] (Single) MalesChinese_Single_MalesNumericNumber-
[Chinese] (Single) FemalesChinese_Single_FemalesNumericNumber-
[Chinese] (Married) TotalChinese_Married_TotalNumericNumber-
[Chinese] (Married) MalesChinese_Married_MalesTextNumber-
[Chinese] (Married) FemalesChinese_Married_FemalesNumericNumber-
[Chinese] (Widowed) TotalChinese_Widowed_TotalTextNumber-
[Chinese] (Widowed) MalesChinese_Widowed_MalesTextNumber-
[Chinese] (Widowed) FemalesChinese_Widowed_FemalesTextNumber-
[Chinese] (Divorced/Separated) TotalChinese_Divorced_Separated_TotalTextNumber-
[Chinese] (Divorced/Separated) MalesChinese_Divorced_Separated_MalesTextNumber-
[Chinese] (Divorced/Separated) FemalesChinese_Divorced_Separated_FemalesTextNumber-
[Malays] (Total) TotalMalays_Total_TotalNumericNumber-
[Malays] (Total) MalesMalays_Total_MalesNumericNumber-
[Malays] (Total) FemalesMalays_Total_FemalesNumericNumber-
[Malays] (Single) TotalMalays_Single_TotalNumericNumber-
[Malays] (Single) MalesMalays_Single_MalesNumericNumber-
[Malays] (Single) FemalesMalays_Single_FemalesNumericNumber-
[Malays] (Married) TotalMalays_Married_TotalTextNumber-
[Malays] (Married) MalesMalays_Married_MalesTextNumber-
[Malays] (Married) FemalesMalays_Married_FemalesTextNumber-
[Malays] (Widowed) TotalMalays_Widowed_TotalTextNumber-
[Malays] (Widowed) MalesMalays_Widowed_MalesTextNumber-
[Malays] (Widowed) FemalesMalays_Widowed_FemalesTextNumber-
[Malays] (Divorced/Separated) TotalMalays_Divorced_Separated_TotalTextNumber-
[Malays] (Divorced/Separated) MalesMalays_Divorced_Separated_MalesTextNumber-
[Malays] (Divorced/Separated) FemalesMalays_Divorced_Separated_FemalesTextNumber-
[Indians] (Total) TotalIndians_Total_TotalNumericNumber-
[Indians] (Total) MalesIndians_Total_MalesNumericNumber-
[Indians] (Total) FemalesIndians_Total_FemalesNumericNumber-
[Indians] (Single) TotalIndians_Single_TotalNumericNumber-
[Indians] (Single) MalesIndians_Single_MalesNumericNumber-
[Indians] (Single) FemalesIndians_Single_FemalesNumericNumber-
[Indians] (Married) TotalIndians_Married_TotalNumericNumber-
[Indians] (Married) MalesIndians_Married_MalesNumericNumber-
[Indians] (Married) FemalesIndians_Married_FemalesTextNumber-
[Indians] (Widowed) TotalIndians_Widowed_TotalTextNumber-
[Indians] (Widowed) MalesIndians_Widowed_MalesTextNumber-
[Indians] (Widowed) FemalesIndians_Widowed_FemalesTextNumber-
[Indians] (Divorced/Separated) TotalIndians_Divorced_Separated_TotalTextNumber-
[Indians] (Divorced/Separated) MalesIndians_Divorced_Separated_MalesTextNumber-
[Indians] (Divorced/Separated) FemalesIndians_Divorced_Separated_FemalesTextNumber-
[Others] (Total) TotalOthers_Total_TotalNumericNumber-
[Others] (Total) MalesOthers_Total_MalesNumericNumber-
[Others] (Total) FemalesOthers_Total_FemalesNumericNumber-
[Others] (Single) TotalOthers_Single_TotalNumericNumber-
[Others] (Single) MalesOthers_Single_MalesNumericNumber-
[Others] (Single) FemalesOthers_Single_FemalesNumericNumber-
[Others] (Married) TotalOthers_Married_TotalTextNumber-
[Others] (Married) MalesOthers_Married_MalesTextNumber-
[Others] (Married) FemalesOthers_Married_FemalesTextNumber-
[Others] (Widowed) TotalOthers_Widowed_TotalTextNumber-
[Others] (Widowed) MalesOthers_Widowed_MalesTextNumber-
[Others] (Widowed) FemalesOthers_Widowed_FemalesTextNumber-
[Others] (Divorced/Separated) TotalOthers_Divorced_Separated_TotalTextNumber-
[Others] (Divorced/Separated) MalesOthers_Divorced_Separated_MalesTextNumber-
[Others] (Divorced/Separated) FemalesOthers_Divorced_Separated_FemalesTextNumber-
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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.

import requests
          
dataset_id = "d_724eeb009bfcff6084e04bd2f8378e92"
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 Age Group, Marital Status, Sex and Ethnic Group (Census of Population 2020) (2025) [Dataset]. data.gov.sg. Retrieved January 23, 2025 from https://data.gov.sg/datasets/d_724eeb009bfcff6084e04bd2f8378e92/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)

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