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Economy

Resident Population by Planning Area/Subzone of Residence, Age Group and Sex (Census of Population 2020)

Updated 12 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

Footnotes: Note: Planning areas refer to areas demarcated in the Urban Redevelopment Authority’s Master Plan 2019.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17560

Data explorer

ResidentPopulationbyPlanningAreaSubzoneofResidenceAgeGroupandSexCensusofPopulation2020.csv (388 rows, 130.3 KB)

Number
Text
(Total) Total
Text
(Total) 0 - 4
Text
(Total) 5 - 9
Text
(Total) 10 - 14
Text
(Total) 15 - 19
Text
(Total) 20 - 24
Text
(Total) 25 - 29
Text
(Total) 30 - 34
Text
(Total) 35 - 39
Text
(Total) 40 - 44
Text
(Total) 45 - 49
Text
(Total) 50 - 54
Text
(Total) 55 - 59
Text
(Total) 60 - 64
Text
(Total) 65 - 69
Text
(Total) 70 - 74
Text
(Total) 75 - 79
Text
(Total) 80 - 84
Text
(Total) 85 - 89
Text
(Total) 90 & Over
Text
(Males) Total
Text
(Males) 0 - 4
Text
(Males) 5 - 9
Text
(Males) 10 - 14
Text
(Males) 15 - 19
Text
(Males) 20 - 24
Text
(Males) 25 - 29
Text
(Males) 30 - 34
Text
(Males) 35 - 39
Text
(Males) 40 - 44
Text
(Males) 45 - 49
Text
(Males) 50 - 54
Text
(Males) 55 - 59
Text
(Males) 60 - 64
Text
(Males) 65 - 69
Text
(Males) 70 - 74
Text
(Males) 75 - 79
Text
(Males) 80 - 84
Text
(Males) 85 - 89
Text
(Males) 90 & Over
Text
(Females) Total
Text
(Females) 0 - 4
Text
(Females) 5 - 9
Text
(Females) 10 - 14
Text
(Females) 15 - 19
Text
(Females) 20 - 24
Text
(Females) 25 - 29
Text
(Females) 30 - 34
Text
(Females) 35 - 39
Text
(Females) 40 - 44
Text
(Females) 45 - 49
Text
(Females) 50 - 54
Text
(Females) 55 - 59
Text
(Females) 60 - 64
Text
(Females) 65 - 69
Text
(Females) 70 - 74
Text
(Females) 75 - 79
Text
(Females) 80 - 84
Text
(Females) 85 - 89
Text
(Females) 90 & Over
Text
(Null)0.0%
(Null)13.4%
(Null)30.7%
(Null)30.7%
(Null)30.4%
(Null)30.4%
(Null)29.6%
(Null)28.9%
(Null)29.9%
(Null)28.9%
(Null)29.4%
(Null)29.1%
(Null)29.1%
(Null)29.1%
(Null)29.4%
(Null)29.6%
(Null)30.4%
(Null)33.5%
(Null)34.3%
(Null)36.3%
106.2%
203.1%
402.8%
1202.6%
(Null)36.6%
107.0%
204.4%
303.6%
603.9%
(Null)28.6%
(Null)33.2%
(Null)32.2%
(Null)32.5%
(Null)33.0%
(Null)32.5%
(Null)32.2%
(Null)30.9%
(Null)30.2%
(Null)29.9%
(Null)29.1%
(Null)30.4%
(Null)29.9%
(Null)30.7%
(Null)30.9%
(Null)32.2%
(Null)35.6%
(Null)37.1%
105.4%
204.1%
403.4%
1303.1%
(Null)39.9%
108.0%
205.2%
405.4%
605.4%
(Null)43.0%
1012.1%
209.5%
3010.3%
405.7%
(Null)28.6%
(Null)32.5%
(Null)33.0%
(Null)32.2%
(Null)31.4%
(Null)30.9%
(Null)31.2%
(Null)30.9%
(Null)30.2%
(Null)30.4%
(Null)30.2%
(Null)29.9%
(Null)29.6%
(Null)31.2%
(Null)32.2%
(Null)32.2%
(Null)35.6%
(Null)36.1%
(Null)38.7%
107.0%
203.4%
803.4%
1104.1%
(Null)39.7%
108.2%
204.6%
504.9%
605.2%
Total404421018308019874020639021523024454028700029780029952029929031174029607030583028463022940017001090990665103659020880197756093390101730104970109870124620142380143020141360142800151690145380152960141470112610808204077027890135206310206665089690970101014301053701199201446201547801581601564901600501506901528701431601167908919050220386302306014560
Ang Mo Kio - Total1622805280610070307600868010320104901042011350124101186012780127301196099305770415022801130775702710302035903870441051005030489052705910572063306090548045702570180089032084700257030803440373042805220546055306070650061406450665064805350320023501390810
Ang Mo Kio Town Centre481017024028032027028029033040047037032030025023014010040202260901301201601301401301401802301901601401101006040101025508011016016014014017019023025018015016014013080603020
Cheng San28070106010401040116013301710200021502070220020502120212021701730960640350180134805705405706007108509201000980106010001060960960820420290130501460049051047056062086010801140109011401050106011701210920540360210130
Chong Boon265008608401010106013101610189017301800182019002090214021001800113078043020012860450450550590700790920830840880910105010409708205203401806013640420400470470610820980910960940990104011101130990610440250140
Kebun Bahru22620660810950101011701420141014501620179017101800175016901430840620340160106603103404604806006706606607708508309308307906403702801505011970350470490530570740740780860940890870920910790470350190110
Sembawang Hills68502103104004605005003503103705505405504804103702301501006032101101301802202402401701301702602702602501901701007040303650100190220240260260190180210290270300220220200130806040
Shangri-La159605505606407108609801020990101012101200139012701180960620430250130778030029033039043050050049049059058073063057041025018090308180260270310320430480520500530620620660640610550370250170100
Tagore795021031040045058067049034044058058067073055038021019012060379010014021021027035026016018025027030035028020010090502041601101701902503103202401802503303103603802701801101007050
Townsville21140660860930820890131014001410165015601360158016601530142088068036019099303204704904304406407006407707506507607806606203702801305011210340400430390450670710770880810710820880860810510400230140

Column legend

Title
Column name
Data type
Unit of measure
Description
NumberNumberTextNumber-
(Total) TotalTotal_TotalTextNumber-
(Total) 0 - 4Total_0_4TextNumber-
(Total) 5 - 9Total_5_9TextNumber-
(Total) 10 - 14Total_10_14TextNumber-
(Total) 15 - 19Total_15_19TextNumber-
(Total) 20 - 24Total_20_24TextNumber-
(Total) 25 - 29Total_25_29TextNumber-
(Total) 30 - 34Total_30_34TextNumber-
(Total) 35 - 39Total_35_39TextNumber-
(Total) 40 - 44Total_40_44TextNumber-
(Total) 45 - 49Total_45_49TextNumber-
(Total) 50 - 54Total_50_54TextNumber-
(Total) 55 - 59Total_55_59TextNumber-
(Total) 60 - 64Total_60_64TextNumber-
(Total) 65 - 69Total_65_69TextNumber-
(Total) 70 - 74Total_70_74TextNumber-
(Total) 75 - 79Total_75_79TextNumber-
(Total) 80 - 84Total_80_84TextNumber-
(Total) 85 - 89Total_85_89TextNumber-
(Total) 90 & OverTotal_90andOverTextNumber-
(Males) TotalMales_TotalTextNumber-
(Males) 0 - 4Males_0_4TextNumber-
(Males) 5 - 9Males_5_9TextNumber-
(Males) 10 - 14Males_10_14TextNumber-
(Males) 15 - 19Males_15_19TextNumber-
(Males) 20 - 24Males_20_24TextNumber-
(Males) 25 - 29Males_25_29TextNumber-
(Males) 30 - 34Males_30_34TextNumber-
(Males) 35 - 39Males_35_39TextNumber-
(Males) 40 - 44Males_40_44TextNumber-
(Males) 45 - 49Males_45_49TextNumber-
(Males) 50 - 54Males_50_54TextNumber-
(Males) 55 - 59Males_55_59TextNumber-
(Males) 60 - 64Males_60_64TextNumber-
(Males) 65 - 69Males_65_69TextNumber-
(Males) 70 - 74Males_70_74TextNumber-
(Males) 75 - 79Males_75_79TextNumber-
(Males) 80 - 84Males_80_84TextNumber-
(Males) 85 - 89Males_85_89TextNumber-
(Males) 90 & OverMales_90andOverTextNumber-
(Females) TotalFemales_TotalTextNumber-
(Females) 0 - 4Females_0_4TextNumber-
(Females) 5 - 9Females_5_9TextNumber-
(Females) 10 - 14Females_10_14TextNumber-
(Females) 15 - 19Females_15_19TextNumber-
(Females) 20 - 24Females_20_24TextNumber-
(Females) 25 - 29Females_25_29TextNumber-
(Females) 30 - 34Females_30_34TextNumber-
(Females) 35 - 39Females_35_39TextNumber-
(Females) 40 - 44Females_40_44TextNumber-
(Females) 45 - 49Females_45_49TextNumber-
(Females) 50 - 54Females_50_54TextNumber-
(Females) 55 - 59Females_55_59TextNumber-
(Females) 60 - 64Females_60_64TextNumber-
(Females) 65 - 69Females_65_69TextNumber-
(Females) 70 - 74Females_70_74TextNumber-
(Females) 75 - 79Females_75_79TextNumber-
(Females) 80 - 84Females_80_84TextNumber-
(Females) 85 - 89Females_85_89TextNumber-
(Females) 90 & OverFemales_90andOverTextNumber-
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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_d95ae740c0f8961a0b10435836660ce0"
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 Population by Planning Area/Subzone of Residence, Age Group and Sex (Census of Population 2020) (2025) [Dataset]. data.gov.sg. Retrieved April 28, 2025 from https://data.gov.sg/datasets/d_d95ae740c0f8961a0b10435836660ce0/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)