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

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

Data from Jan 2004 to Mar 2025

Last updated: 12 Jun 2025, 23:01 SGT

SINGSTAT (Singapore Department of Statistics)

Source: URBAN REDEVELOPMENT AUTHORITY

Data Last Updated: 25/04/2025

Update Frequency: Quarterly

Footnotes: The rental index is computed using stratified hedonic regression method. The sum of values of transactions from Q1 2014 to Q1 2015 is used as weights to compute the index. The weights are reviewed every 3 years. The rental prices in Q1 2009 are used as the base reference price of the rental index.

Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M212321

Data explorer

RentalIndicesOfNonLandedPrivateResidentialPropertiesByLocality1stQuarter2009100Quarterly.csv (3 rows, 2.7 KB)

Data Series Text	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%
Core Central Region	147.3	146.7	145.4	147.8	147.9	150.3	152.7	155.3	152.3	143.1	133.4	124.7	115.8	111.6	108.5	107.7	104.5	101.6	102.8	105	105.6	104.1	105.2	105.9	104.3	102.7	103.3	104.2	103.4	102.8	103.5	104.3	104.2	104.9	105.3	106.8	106.7	108.5	108.9	109.3	110.7	112.8	114.1	116.3	116.4	117.1	117.8	117.4	116.8	115.8	115.1	114.4	114.6	114	113.9	113.4	112.5	111.1	108.7	104.9	98.7	93.7	92.9	94.9	100	111.4	118.7	119.5	116.2	110.9	105.3	93.9	83.8	77.9	73.9	69.3	66.3	65	64.1	63.6	63.3	62.5	62.8	63.5	63.3
Rest Of Central Region	168.6	167.9	167.4	164.6	166.9	170.1	172.2	169	165.7	156	145.4	132.7	125.3	119.7	116.4	114.6	111.5	109.3	108.3	108	110.1	109.4	110.2	108.5	107	107.3	107.8	106.2	105.8	106.1	106.8	105.8	106.2	107.5	107.6	108.2	108.9	109.6	111.4	112.3	113.5	115.3	115.5	115.8	115.9	115.6	115.6	114.9	114.8	114.7	114	112.9	112.1	111.7	110.4	109.4	108.4	108	104	100.3	95.5	91.8	91.7	93.9	100	107.8	114.6	115.2	114	106.9	98.3	87.8	79.8	72.7	68.7	64.8	62.3	61	60.8	60.4	60.3	61.5	62.8	65	65.6
Outside Central Region	166.8	165.6	166.9	163.3	165.5	167.8	172.6	170.4	165.6	156.1	144.3	132.6	123.1	118.4	115.6	112.7	108.8	106.6	105.6	104.6	105.5	103.5	104.5	103.7	102.5	100.8	102.5	101.6	100.8	100.1	101.1	101.4	102	101.6	103.7	106.3	107.6	108.9	110.9	112.1	113.2	115.3	116.2	116.2	117.3	118.3	119.2	120.1	120.1	119.2	117.8	115.9	114.8	114.5	113.9	112.7	111.1	109.4	105.9	102.3	96.3	91.9	91.9	94.1	100	106.9	111.7	114.8	113.4	104.7	96.5	86.3	78.9	73.7	69.4	67.3	65.8	65.7	65.3	65	64.6	64.3	63.8	63.1	63.1

Column legend

Title	Column name	Data type	Unit of measure	Description
Data Series	DataSeries	Text	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	-
2023 4Q	20234Q	Numeric	Index	-
2023 3Q	20233Q	Numeric	Index	-
2023 2Q	20232Q	Numeric	Index	-
2023 1Q	20231Q	Numeric	Index	-

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_56b0c7f6538be69f24956634d88d82e8"
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). Rental Indices Of Non-Landed Private Residential Properties By Locality (1st Quarter 2009 = 100), Quarterly (2025) [Dataset]. data.gov.sg. Retrieved July 5, 2025 from https://data.gov.sg/datasets/d_56b0c7f6538be69f24956634d88d82e8/view

Data explorer

RentalIndicesOfNonLandedPrivateResidentialPropertiesByLocality1stQuarter2009100Quarterly.csv (3 rows, 2.7 KB)

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Sample OpenAPI query

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