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Resident Households By Household Living Arrangement And Selected Characteristics, Annual

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 30/06/2026

Update Frequency: Annual

Footnotes: Data for 2000, 2010 and 2020 are based on the Census of Population while data for 2005, 2015 and 2025 are based on the General Household Survey. Data for all other years are based on the Comprehensive June Labour Force Survey. Survey estimates are subject to sampling variability. Data on Household Living Arrangement have been revised in Jun 2026 to be based on the composition of members within the household, instead of the characteristics of the household reference person to provide a more holistic view of household living arrangements.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M810661

Data from Jan 2000 to Dec 2025

Last updated 26 days ago (14 Aug 2026)

Data explorer

ResidentHouseholdsByHouseholdLivingArrangementAndSelectedCharacteristicsAnnual.csv (18 rows, 4.6 KB)

Data Series
Text
2025
Numeric
2024
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2023
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2022
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2021
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2020
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2019
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2018
Numeric
2017
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2016
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2015
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2014
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2013
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2012
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2011
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2010
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2009
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2008
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2007
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2006
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2005
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2004
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2003
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2002
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2001
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2000
Numeric
(Null)0.0%
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(Null)0.0%
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(Null)0.0%
(Null)0.0%
(Null)0.0%
(Null)0.0%
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Resident Households1487100146340014251001399600139060013726001372400132530012899001263600122530012000001174500115200011462001145900111960010931001074800105410010245001003800989000964600934400915100
Married Couple-Based With Children707300712200692800667600672900691300673300686400691400686700692600684600691000684500672100666400666100655900643300630200624500618600608800609800595700587100
With Youngest Child Aged Below 6 Years141800146400145400131700149700156800153900159900164900161700158100152100157000151700149700161100156500159900158000159100169800169200170300183600191300188000
With Youngest Child Aged 6 - 11 Years112800113900117200103200112700116800117500120900123400113200119400112100121500124300125400128300137500141200143000138900137600141200139000135900133000133500
With Youngest Child Aged 12 - 15 Years6680073700739006830070500701007100072000734007760084800782008750088800902008720092700900008900087700806008340083700771006940060600
With Youngest Child Aged 16 Years And Over385900378200356300364500340000347600330900333600329700334100330300342200325000319700306800289700279400264900253300244600236500224900215700213200202000205100
Married Couple-Based Without Children283700257400257300249400248400230200262200229700220000212200190500189300171800173500179000158600161500160200151100150200136300138400137600128700120700111500
Lone Parent10180097600116400115600120300128000124600121700116700117600118800112300113000106000106800106000103600101700102200102000928009670094600934009480083300
With Youngest Child Aged Below 6 Years23002800330054004100420037003900310028003300260027002700250032003000280032002600330025002500300030003000
With Youngest Child Aged 6 - 11 Years41007800770010600980010200111009400860085009600860088008100930089009000860093008900840092007700730091008100
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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_8ce24c4abfb7118c00d105065420437e"
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. (2026). Resident Households By Household Living Arrangement And Selected Characteristics, Annual (2026) [Dataset]. data.gov.sg. Retrieved September 9, 2026 from https://data.gov.sg/datasets/d_8ce24c4abfb7118c00d105065420437e/view

About this dataset

Contact

feedback@data.gov.sg

Created on

14 Jul 2026

Licence

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

Agency

SINGSTAT (Singapore Department of Statistics)