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Private Residential Property Transactions in the Whole of Singapore, Quarterly

Data from Oct 1999 to Sep 2024Updated 3 months ago

URA (Urban Redevelopment Authority)

Data explorer

PrivateResidentialPropertyTransactionsintheWholeofSingaporeQuarterly.csv (400 rows, 11.3 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%
1999-Q4New SaleCompleted234
1999-Q4New SaleUncompleted756
1999-Q4Resalena1942
1999-Q4Sub Salena367
2000-Q1New SaleCompleted119
2000-Q1New SaleUncompleted1133
2000-Q1Resalena1825
2000-Q1Sub Salena295
2000-Q2New SaleCompleted204
2000-Q2New SaleUncompleted850

Column legend

Title
Column name
Data type
Unit of measure
Description
QuarterquarterQuarter (Q)--
Type of saletype_of_saleText--
Sale statussale_statusText--
UnitsunitsNumeric--
Google colab link
Analyse this dataset with Colab Notebook
  1. 1. Copy this dataset ID: d_7c69c943d5f0d89d6a9a773d2b51f337
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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_7c69c943d5f0d89d6a9a773d2b51f337"
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 the Whole of Singapore, Quarterly (2024) [Dataset]. data.gov.sg. Retrieved January 15, 2025 from https://data.gov.sg/datasets/d_7c69c943d5f0d89d6a9a773d2b51f337/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)

Dataset usage

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API calls