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Data from Jan 2011 to Sep 2024Updated 3 months ago
URA (Urban Redevelopment Authority)The rental indices for commercial properties (i.e. office and retail space) are compiled from tenancy agreement data from the Inland Revenue Authority of Singapore (IRAS).
To compute the rental indices, rental transactions are grouped by property type, locality etc. The median rental in each group is used to compute a sub-index. The rental index of a particular property type is the weighted average of all the sub-indices of that property type in the various groups. The indices are computed based on a Moving Average weight method, whereby the value of properties transacted in the past 12 quarters are used as weights.
(Null) | (Null) office retail | (Null) |
2011-Q1 | office | 168 |
2011-Q1 | retail | 115.7 |
2011-Q2 | office | 170.6 |
2011-Q2 | retail | 117.2 |
2011-Q3 | office | 172.2 |
2011-Q3 | retail | 117.9 |
2011-Q4 | office | 172.8 |
2011-Q4 | retail | 118.9 |
2012-Q1 | office | 172 |
2012-Q1 | retail | 118.6 |
No results found
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_862c74b13138382b9f0c50c68d436b95"
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.
07 Dec 2020
Free forever for personal or commercial use, under the Open Data Licence.