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Private Residential Property Rental Index , (Base Quarter 2009-Q1 = 100), Quarterly
Data from Jan 1975 to Mar 2025
Last updated: 05 May 2025, 15:32 SGT
The residential rental index covers only private residential properties. It does not cover HDB flats.
The rental index is computed from information obtained in returns filed with the Inland Revenue Authority of Singapore (IRAS). When a property is let out, the property owner has to inform IRAS the details of the tenancy agreement. Besides an overall rental index for private residential properties, sub-indices for landed and non-landed properties are also compiled. From the 2015-Q1, a “stratified hedonic regression methodology” is used to compute the rental indices. Under this method, variations in the attributes of rental private properties transacted such as age and unit size are controlled for by using hedonic regression and rental movements are aggregated using 5-quarter fixed weights to derive the aggregate rental change.
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-Q1 | All Residential | 8.9 |
1975-Q1 | Landed | 7.4 |
1975-Q1 | Non-Landed | 10.5 |
1975-Q2 | All Residential | 9.1 |
1975-Q2 | Landed | 7.7 |
1975-Q2 | Non-Landed | 11.2 |
1975-Q3 | All Residential | 9.1 |
1975-Q3 | Landed | 7.8 |
1975-Q3 | Non-Landed | 11.5 |
1975-Q4 | All Residential | 9.1 |
No results found
Title | Column name | Data type | Unit of measure | Description |
---|---|---|---|---|
Quarter | quarter | Quarter (Q) | - | - |
Property Type | property_type | Text | - | - |
Index | index | Numeric | - | - |
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_8e4c50283fb7052a391dfb746a05c853"
url = "https://data.gov.sg/api/action/datastore_search?resource_id=" + dataset_id
response = requests.get(url)
print(response.json())
This dataset can be reused and cited in research publications.
08 Sep 2016
Free forever for personal or commercial use, under the Open Data Licence.