Price Index Of Non-Landed Private Residential Properties By Locality (1st Quarter 2009 = 100), Quarterly

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Price Index Of Non-Landed Private Residential Properties By Locality (1st Quarter 2009 = 100), Quarterly

SINGSTAT (Singapore Department of Statistics)

Source: URBAN REDEVELOPMENT AUTHORITY

Footnotes: From 1Q 2015, the private residential property price indices are computed using a stratified hedonic regression method. Under this method, variations in the attributes of private residential properties transacted such as age and unit size are controlled for by using hedonic regressions and price movements are aggregated using 5-quarter fixed weights to derive the aggregate price change. Data are compiled from caveats lodged at Singapore Land Authority, stamp duty data from the Inland Revenue Authority of Singapore, as well as data provided by developers.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M212271

Data from Jan 2004 to Jun 2026

Last updated 6 months ago (24 Apr 2026)

Updated quarterly

Data explorer

PriceIndexOfNonLandedPrivateResidentialPropertiesByLocality1stQuarter2009100Quarterly.csv (3 rows, 2.9 KB)

Data Series Text	2026 1Q Numeric	2025 4Q Numeric	2025 3Q Numeric	2025 2Q Numeric	2025 1Q Numeric	2024 4Q Numeric	2024 3Q Numeric	2024 2Q Numeric	2024 1Q Numeric	2023 4Q Numeric	2023 3Q Numeric	2023 2Q Numeric	2023 1Q Numeric	2022 4Q Numeric	2022 3Q Numeric	2022 2Q Numeric	2022 1Q Numeric	2021 4Q Numeric	2021 3Q Numeric	2021 2Q Numeric	2021 1Q Numeric	2020 4Q Numeric	2020 3Q Numeric	2020 2Q Numeric	2020 1Q Numeric	2019 4Q Numeric	2019 3Q Numeric	2019 2Q Numeric	2019 1Q Numeric	2018 4Q Numeric	2018 3Q Numeric	2018 2Q Numeric	2018 1Q Numeric	2017 4Q Numeric	2017 3Q Numeric	2017 2Q Numeric	2017 1Q Numeric	2016 4Q Numeric	2016 3Q Numeric	2016 2Q Numeric	2016 1Q Numeric	2015 4Q Numeric	2015 3Q Numeric	2015 2Q Numeric	2015 1Q Numeric	2014 4Q Numeric	2014 3Q Numeric	2014 2Q Numeric	2014 1Q Numeric	2013 4Q Numeric	2013 3Q Numeric	2013 2Q Numeric	2013 1Q Numeric	2012 4Q Numeric	2012 3Q Numeric	2012 2Q Numeric	2012 1Q Numeric	2011 4Q Numeric	2011 3Q Numeric	2011 2Q Numeric	2011 1Q Numeric	2010 4Q Numeric	2010 3Q Numeric	2010 2Q Numeric	2010 1Q Numeric	2009 4Q Numeric	2009 3Q Numeric	2009 2Q Numeric	2009 1Q Numeric	2008 4Q Numeric	2008 3Q Numeric	2008 2Q Numeric	2008 1Q Numeric	2007 4Q Numeric	2007 3Q Numeric	2007 2Q Numeric	2007 1Q Numeric	2006 4Q Numeric	2006 3Q Numeric	2006 2Q Numeric	2006 1Q Numeric	2005 4Q Numeric	2005 3Q Numeric	2005 2Q Numeric	2005 1Q Numeric	2004 4Q Numeric	2004 3Q Numeric	2004 2Q Numeric	2004 1Q 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%	(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%	(Null)0.0%	(Null)0.0%	(Null)0.0%	(Null)0.0%
Core Central Region	158.6	157.7	163.4	160.7	156	154.8	150.9	152.6	153.1	148.1	142.5	146.5	146.6	145.4	144.4	141.2	138.6	138.7	135.1	135.8	134.3	133.6	129.5	134.6	131.1	134.1	138	135.3	132.3	136.4	137.8	136	134.8	127.8	126	125.9	126.5	127	126.9	129.4	129	128.6	129	130.6	131.4	131.9	133.1	134.2	136.2	137.6	140.5	140.9	141.2	140.3	139.4	139.2	138.4	139.2	138.5	137.5	135.3	133.9	131	128.9	122.4	117.2	109.2	94.8	100	119.4	127.6	131.2	131.3	126.5	117.7	108.6	100.7	95.4	90.9	86.3	82.5	81.5	79.7	77.9	77.6	76.9	76.4	76.1	76
Rest Of Central Region	228.9	227.1	225.5	224.8	227.3	223.5	217	215.3	211.9	211.3	213	208.6	213.9	204.9	198.7	193.3	181.7	186.7	175	170.6	170.4	160.6	153.8	150	152.6	153.4	155.4	153.4	148.2	149.2	146.6	148.5	140.6	138.9	138.3	137.6	136.8	136.4	139.2	140.6	140.3	140.3	140.9	143.2	144.1	146.6	148.6	149.2	149.7	154.8	154.2	155.6	155.3	155	153.6	152.3	151.7	152.5	152.4	150.6	148.9	145.9	143.3	140	133.8	124.1	113.3	95.6	100	120.4	128.3	131.5	130.6	126.4	117.4	108.7	100.6	96.9	94.8	94.4	94.4	94.1	94.1	94.1	93.7	92.9	92.2	91.6	91.5
Outside Central Region	271.4	265.6	263	260.9	258.1	257.3	249.1	249.1	248.6	248.1	237.4	225	222.3	218.2	224	208.4	204.1	199.7	188.9	189.1	185.6	183.6	180.4	177.4	177.2	177.9	173.1	171.7	171	170.7	169.5	169.7	164.8	156.1	154.9	153.7	154.2	154	154.9	156.5	157.3	159.4	159.4	162	163.8	165.6	167	167.6	169.1	169.3	170.9	167.3	161.1	158.9	153.2	151.6	150.9	149.2	148.4	145.3	142.8	138.6	135.8	132.9	125.7	120.5	113.4	97.7	100	107.9	114.6	116.3	115.2	111	103.7	96.1	89.7	87.9	86.5	85.8	84.5	84.3	83.6	83.6	83.6	83.4	83	82.7	83

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	Index	-
2026 1Q	20261Q	Numeric	Index	-
2025 4Q	20254Q	Numeric	Index	-
2025 3Q	20253Q	Numeric	Index	-
2025 2Q	20252Q	Numeric	Index	-
2025 1Q	20251Q	Numeric	Index	-
2024 4Q	20244Q	Numeric	Index	-
2024 3Q	20243Q	Numeric	Index	-
2024 2Q	20242Q	Numeric	Index	-
2024 1Q	20241Q	Numeric	Index	-

Sample OpenAPI query

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import requests
          
dataset_id = "d_cac92aec5effc2d67f529615617c235a"
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). Price Index Of Non-Landed Private Residential Properties By Locality (1st Quarter 2009 = 100), Quarterly (2026) [Dataset]. data.gov.sg. Retrieved October 20, 2026 from https://data.gov.sg/datasets/d_cac92aec5effc2d67f529615617c235a/view

Data explorer

PriceIndexOfNonLandedPrivateResidentialPropertiesByLocality1stQuarter2009100Quarterly.csv (3 rows, 2.9 KB)

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