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Private Property Price Index by Type, Quarterly

Private Residential Property Price Index (Base Quarter 2009-Q1 = 100), Quarterly

Housing

Private Residential Property Price Index (Base Quarter 2009-Q1 = 100), Quarterly

Data from Jan 1975 to Mar 2025Updated 17 days ago

URA (Urban Redevelopment Authority)

The residential statistics were compiled from information in caveats lodged at the option stage with the Singapore Land Registry, supplemented with Stamp Duty data from the Inland Revenue Authority of Singapore, as well as data provided by developers for new sales. A caveat is normally lodged by a purchaser to protect his/her interest of a property shortly after the option to purchase is exercised. The prices in 2009-Q1 are used as the base reference price of the index. The indices are compiled based on a Stratified Hedonic Regression method. The value of properties transacted in the past 5 quarters are used as weights. The weights are revised every 3 years. The latest revision was in 2015-Q1.

Index by Quarter

Data explorer

PrivateResidentialPropertyPriceIndexBaseQuarter2009Q1100Quarterly.csv (603 rows, 15 KB)

Quarter
Quarter (Q)
Property Type
Text
Index
Numeric
(Null)0.0%
(Null)0.0%
Landed33.3%
Non-Landed33.3%
All Residential33.3%
(Null)0.0%
1975-Q1All Residential8.9
1975-Q1Landed7.4
1975-Q1Non-Landed10.5
1975-Q2All Residential9.1
1975-Q2Landed7.7
1975-Q2Non-Landed11.2
1975-Q3All Residential9.1
1975-Q3Landed7.8
1975-Q3Non-Landed11.5
1975-Q4All Residential9.1

Column legend

Title
Column name
Data type
Unit of measure
Description
QuarterquarterQuarter (Q)--
Property Typeproperty_typeText--
IndexindexNumeric--
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_97f8a2e995022d311c6c68cfda6d034c
  2. 2. Click on the button below

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_97f8a2e995022d311c6c68cfda6d034c"
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.

Urban Redevelopment Authority. (2016). Private Residential Property Price Index (Base Quarter 2009-Q1 = 100), Quarterly (2025) [Dataset]. data.gov.sg. Retrieved May 22, 2025 from https://data.gov.sg/datasets/d_97f8a2e995022d311c6c68cfda6d034c/view

About this dataset

Contact

chee_tuck_chuen@ura.gov.sg

Created on

08 Sep 2016

Licence

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

Agency

URA (Urban Redevelopment Authority)