Private Residential Property Transactions in Core Central Region, Quarterly

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Data from Jan 2004 to Sep 2024Updated 3 months ago

URA (Urban Redevelopment Authority)

Core Central Region comprises Postal Districts 9, 10, 11, Downtown Core Planning Area and Sentosa. A map of Central Region showing the Core Central Region (CCR) and the Rest of Central Region (RCR) is available at: https://www.ura.gov.sg/-/media/Corporate/Property/REALIS/realis-maps/map_ccr.pdf

Data explorer

PrivateResidentialPropertyTransactionsinCoreCentralRegionQuarterly.csv (332 rows, 9.1 KB)

Quarter Quarter (Q)	Type of sale Text	Sale status Text	Units Numeric
(Null)0.0%	(Null)0.0% New Sale50.0% Resale25.0% Sub Sale25.0%	(Null)50.0% Completed25.0% Uncompleted25.0%	(Null)0.0%
2004-Q1	New Sale	Completed	98
2004-Q1	New Sale	Uncompleted	160
2004-Q1	Resale	na	310
2004-Q1	Sub Sale	na	10
2004-Q2	New Sale	Completed	143
2004-Q2	New Sale	Uncompleted	151
2004-Q2	Resale	na	314
2004-Q2	Sub Sale	na	21
2004-Q3	New Sale	Completed	88
2004-Q3	New Sale	Uncompleted	147

Column legend

Title	Column name	Data type	Unit of measure	Description
Quarter	quarter	Quarter (Q)	-	-
Type of sale	type_of_sale	Text	-	-
Sale status	sale_status	Text	-	-
Units	units	Numeric	-	-

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_c287c8be114bfa7d055b27ab2c87de83"
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 Transactions in Core Central Region, Quarterly (2024) [Dataset]. data.gov.sg. Retrieved January 15, 2025 from https://data.gov.sg/datasets/d_c287c8be114bfa7d055b27ab2c87de83/view

Data explorer

PrivateResidentialPropertyTransactionsinCoreCentralRegionQuarterly.csv (332 rows, 9.1 KB)

Column legend

Analyse this dataset with Colab Notebook

Sample OpenAPI query

Citation

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