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Economy

Resident Population by Planning Area/Subzone, Age Group and Sex (General Household Survey 2015)

Updated 7 days ago

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 09/03/2016

Update Frequency: 10 years

Survey period: General Household Survey 2015

Footnotes: Note: Planning areas refer to areas demarcated in the Urban Redevelopment Authority's Master Plan 2014.

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/8182

Data explorer

ResidentPopulationbyPlanningAreaSubzoneAgeGroupandSexGeneralHouseholdSurvey2015.csv (379 rows, 128.5 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 & 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 & 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 & Over
Text
(Null)0.0%
(Null)12.7%
(Null)29.8%
(Null)29.3%
(Null)29.8%
(Null)29.8%
(Null)30.3%
(Null)29.3%
(Null)29.3%
(Null)28.5%
(Null)28.2%
(Null)28.2%
(Null)28.5%
(Null)28.2%
(Null)28.8%
(Null)29.6%
(Null)31.1%
(Null)31.7%
(Null)33.0%
(Null)33.5%
(Null)28.0%
(Null)31.4%
(Null)31.7%
(Null)32.7%
(Null)31.9%
(Null)32.7%
(Null)31.4%
(Null)30.1%
(Null)28.8%
(Null)28.8%
(Null)29.6%
(Null)29.3%
(Null)29.8%
(Null)30.3%
(Null)31.1%
(Null)33.0%
(Null)34.6%
(Null)37.2%
107.4%
205.0%
504.0%
903.7%
(Null)37.2%
108.7%
204.5%
304.7%
705.0%
(Null)28.0%
(Null)31.9%
(Null)32.2%
(Null)32.2%
(Null)31.9%
(Null)30.6%
(Null)30.9%
(Null)29.8%
(Null)29.3%
(Null)29.0%
(Null)28.8%
(Null)29.0%
(Null)30.6%
(Null)31.4%
(Null)32.5%
(Null)34.3%
(Null)34.6%
(Null)36.7%
107.4%
303.7%
1002.6%
1503.4%
(Null)36.1%
106.3%
304.2%
802.9%
1602.9%
Total390269018358020445021439024290026413027103029062030107031676030341031509029506024049018243010263081210517904166019166309385010386010940012429013349013250013785014380015446014961015847014786011966088700477803613020930140001986060897201005901049901186201306301385301527701572701623001538101566301472001208309373054850450903085027660
Ang Mo Kio- Total1747706790766082909320103101117012250130701371013000140101380012980110506670514032502300842203480388042004730513053805800618066106340700066806040524030702340134077090550331037804090459051805800645068907100666070107120694058103600280019101520
Ang Mo Kio Town Centre50202602803202802603103704204904203503202802701601206050237013013016014013014016020024021017015013012080502020264013016016015013017021022026021017017016015080704040
Cheng San29770129011801290140015701830249024902460222023202290232019201070790480370144006706306807607808601120119011901110118010701050940490370200110153706205506206508009701360130012601110114012201270970580420280260
Chong Boon27900910110011801370152018001980210020402060227022602250195012909205403801359046058064075077087097010009909801150110010509006004202301401431046052053062075093010101100106010801120116012001050690500310240
Kebun Bahru239107801010108012401380149015701730186018601940189018001610101081053033011450380490540620680700780810890920990890860740460380230110124604005205406207007908009209709409501000940870550430300230
Sembawang Hills689020036046055055045031032050055059052043040026019014013032409016022026026023014013023027028027021019013080505036501002002502902802201701902702803102502302101301108080
Shangri-La18510750790850103011201170129012401370142016101440136011107505604302509090390410430520570570630610680690850740660500320250170909410360380410510550600650630690730760700700610430300250160
Tagore8350330370450580740650420480610590700760590400220200140120399016019018028038034018022027026032037031021010011060404360170180270300360310240260340320380400280190110907080
Townsville2377011401100940101012301480175020701860156017601830167015901040840520380113006105904905006107007901020910770850860730720460360190130124705205104505206107809601050950790910960940880580480330250

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 & OverTotal_85andOverTextNumber-
(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 & OverMales_85andOverTextNumber-
(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 & OverFemales_85andOverTextNumber-
Google colab link
Analyse this dataset with Colab Notebook
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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_530099f2c0a37ed367bb94a66c9100af"
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. (2023). Resident Population by Planning Area/Subzone, Age Group and Sex (General Household Survey 2015) (2025) [Dataset]. data.gov.sg. Retrieved May 17, 2025 from https://data.gov.sg/datasets/d_530099f2c0a37ed367bb94a66c9100af/view

About this dataset

Contact

feedback@data.gov.sg

Created on

22 Nov 2023

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)