Resident Households By Type Of Dwelling, Annual

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Data from Jan 1980 to Dec 2023Updated 1 day ago

SINGSTAT (Singapore Department of Statistics)

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 07/02/2024

Update Frequency: Annual

Footnotes: A resident household refers to a household where the household reference person is a Singapore citizen or permanent resident. Data for 1980, 1990, 2000, 2010 and 2020 are based on the Census of Population while data for 1995, 2005 and 2015 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.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M810351

Data explorer

ResidentHouseholdsByTypeOfDwellingAnnual.csv (9 rows, 3.7 KB)

Data Series Text	2023 Numeric	2022 Numeric	2021 Numeric	2020 Numeric	2019 Numeric	2018 Numeric	2017 Numeric	2016 Numeric	2015 Numeric	2014 Numeric	2013 Numeric	2012 Numeric	2011 Numeric	2010 Numeric	2009 Numeric	2008 Numeric	2007 Numeric	2006 Numeric	2005 Numeric	2004 Numeric	2003 Numeric	2002 Numeric	2001 Numeric	2000 Numeric	1999 Numeric	1998 Numeric	1997 Numeric	1996 Numeric	1995 Numeric	1994 Numeric	1993 Numeric	1992 Numeric	1991 Numeric	1990 Numeric	1989 Numeric	1988 Numeric	1987 Numeric	1986 Numeric	1985 Numeric	1984 Numeric	1983 Numeric	1980 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%	(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%
Resident Households	1425100	1399600	1390600	1372600	1372400	1325300	1289900	1263600	1225300	1200000	1174500	1152000	1146200	1145900	1119600	1093100	1074800	1054100	1024500	1003800	989000	964600	934400	915100	889100	848000	824700	804700	768400	751900	724600	708500	688100	661700	648100	621900	593700	577800	551500	521900	498900	472700
Total HDB Dwellings	1108100	1090100	1089100	1080100	1079200	1043300	1018600	1011500	981100	965200	961800	939500	948400	943700	935900	904600	894100	875700	865100	841900	837200	827600	807800	805000	773800	747000	721400	711200	680100	658200	631700	613600	595100	562400	560100	540000	508700	482300	448200	407800	372500	320400
HDB 1- And 2-Room Flats	99700	94200	92400	88800	85700	81400	75400	74100	68800	64000	59100	54000	52200	52300	49700	43000	44700	46200	44500	41200	44200	41400	41800	45600	52300	50900	55300	60900	56700	61900	59100	58900	55600	53900	58100	64400	69100	87200	99900	106900	100900	103500
HDB 3-Room Flats	242900	241400	242800	242400	240000	233900	229100	230300	223400	220100	223200	214500	233300	229700	226500	223200	221300	229300	211600	224700	225800	225300	233400	235700	238300	238900	248500	250800	249100	247200	256500	251300	257300	233900	264400	244300	228400	224800	228700	206600	190000	152300
HDB 4-Room Flats	446600	438800	437700	434300	436500	420800	409900	407400	392300	386000	382400	375400	367500	365400	358800	349700	344600	334300	333200	316400	318400	316000	301400	302600	283400	270600	249800	235500	233800	220300	210800	201700	188300	181500	161800	159900	145800	119200	81200	61400	53200	46300
HDB 5-Room And Executive Flats	319000	315600	316200	314600	317000	307200	302900	298600	295800	292800	294300	293300	291900	293300	297400	286000	280500	261700	273000	255100	244500	239500	226100	215500	193000	180100	160900	154800	134100	121500	98400	94900	88700	86100	69900	65900	59000	48200	34300	32900	28400	16500
Condominiums And Other Apartments	244800	237500	229100	220100	222000	210300	201700	182400	170800	161800	143700	139900	126900	132000	117800	122700	119300	114600	100100	101000	81700	68200	63600	59500	56400	45900	46000	34500	35200	32300	32000	32400	30800	30800	24500	25500	21500	18700	15000	15800	14300	18400
Landed Properties	68400	68200	68500	68400	69000	67900	66500	66200	69200	69400	65000	69000	66300	64900	61200	62500	57600	59800	55500	55900	66100	63200	57200	46300	52900	47800	48400	51800	46400	53100	51900	49700	49800	46300	44800	38400	34300	40500	44000	44500	41500	40100
Other Types Of Dwelling	3800	3900	3900	3900	2200	3800	3100	3500	4200	3600	4000	3600	4600	5300	4600	3400	3800	4000	3800	5000	4000	5500	5800	4300	6100	7200	8800	7300	6600	8300	9100	12800	12500	22200	18800	17900	29100	36400	44400	53700	70600	93700

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Number	-
2023	2023	Numeric	Number	-
2022	2022	Numeric	Number	-
2021	2021	Numeric	Number	-
2020	2020	Numeric	Number	-
2019	2019	Numeric	Number	-
2018	2018	Numeric	Number	-
2017	2017	Numeric	Number	-
2016	2016	Numeric	Number	-
2015	2015	Numeric	Number	-
2014	2014	Numeric	Number	-
2013	2013	Numeric	Number	-
2012	2012	Numeric	Number	-
2011	2011	Numeric	Number	-
2010	2010	Numeric	Number	-
2009	2009	Numeric	Number	-
2008	2008	Numeric	Number	-
2007	2007	Numeric	Number	-
2006	2006	Numeric	Number	-
2005	2005	Numeric	Number	-
2004	2004	Numeric	Number	-
2003	2003	Numeric	Number	-
2002	2002	Numeric	Number	-
2001	2001	Numeric	Number	-
2000	2000	Numeric	Number	-
1999	1999	Numeric	Number	-
1998	1998	Numeric	Number	-
1997	1997	Numeric	Number	-
1996	1996	Numeric	Number	-
1995	1995	Numeric	Number	-
1994	1994	Numeric	Number	-
1993	1993	Numeric	Number	-
1992	1992	Numeric	Number	-
1991	1991	Numeric	Number	-
1990	1990	Numeric	Number	-
1989	1989	Numeric	Number	-
1988	1988	Numeric	Number	-
1987	1987	Numeric	Number	-
1986	1986	Numeric	Number	-
1985	1985	Numeric	Number	-
1984	1984	Numeric	Number	-
1983	1983	Numeric	Number	-
1980	1980	Numeric	Number	-

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
          
datasetId = "d_edf8bb4773c25dd16b8b6875fd0b52da"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + datasetId 
        
response = requests.get(url)
print(response.json())

Resident Households By Type Of Dwelling, Annual

Data explorer

ResidentHouseholdsByTypeOfDwellingAnnual.csv (9 rows, 3.7 KB)

Column legend

Sample OpenAPI query

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