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Employed Residents Aged 15 Years and Over by Gross Monthly Income from Work, Usual Hours Worked and Sex (Census of Population 2020)

Last updated: 06 Dec 2025, 22:00 SGT

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

Footnotes: Note: Data exclude national servicemen.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17546

Data explorer

EmployedResidentsAged15YearsandOverbyGrossMonthlyIncomefromWorkUsualHoursWorkedandSexCensusofPopulation2020.csv (15 rows, 4 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
Numeric
(30 - 34 Hours) Males
Numeric
(30 - 34 Hours) Females
Numeric
(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
Numeric
(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)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%
Total216646211365351029927165802614301043726071226045346671242816129562987107520453436454084034144619082715061917880110800770794492463227116976931366313530002778335916218671
Below 1,0001139024906364840658862198943897115674994657367603446331313778787559024659281118482771163611361509110940024971811686447533911084
1,000 - 1,999281808138786143022572942168035614271621137615786282211305615165931294434948780357761878516991117987707409157294037169398997292260712800105042295
2,000 - 2,99926213513604112609317553710110451871842284490185088867964112189356588653054555724186213711587195766296611242181894130859275380914838120022837
3,000 - 3,999265530133182132348851833685149474520882656155626995856614864466366822784488623914209721595710037592053653712165310972795930131088287412140
4,000 - 4,99922239911083511156448081881292720697161353119215465645613173859020727193690720243166641516989546215461231381474849460492445668053691311
5,000 - 5,9991911279869392433351616201897198179311879753478049731157175401261704316581816113498136368318531840012780122265804929165242843300984
6,000 - 6,999141671733016837020197171302116248467869313494343685337415884374924608134271118010597599146072564169986551913508168332612393869
7,000 - 7,999115069612565381312616196425992053944841240824326813234638334941990810892901610930623147002164126490043883053133528471947900
8,000 - 8,9999904154493445481006466540605231374442123952026578493071027139164389446699210199607241272087113895039002292160825341743791

Column legend

Title
Column name
Data type
Unit of measure
Description
NumberNumberTextNumber-
(Total) TotalTotal_TotalNumericNumber-
(Total) MalesTotal_MalesNumericNumber-
(Total) FemalesTotal_FemalesNumericNumber-
(Below 30 Hours) TotalBelow30Hours_TotalNumericNumber-
(Below 30 Hours) MalesBelow30Hours_MalesNumericNumber-
(Below 30 Hours) FemalesBelow30Hours_FemalesNumericNumber-
(30 - 34 Hours) Total30_34Hours_TotalNumericNumber-
(30 - 34 Hours) Males30_34Hours_MalesNumericNumber-
(30 - 34 Hours) Females30_34Hours_FemalesNumericNumber-
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_d6181d543d937ff8db9847ee16c81f81
  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.

import requests
          
dataset_id = "d_d6181d543d937ff8db9847ee16c81f81"
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 Gross Monthly Income from Work, Usual Hours Worked and Sex (Census of Population 2020) (2025) [Dataset]. data.gov.sg. Retrieved December 26, 2025 from https://data.gov.sg/datasets/d_d6181d543d937ff8db9847ee16c81f81/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)