New Analytics Report For Balance of Units Analysis For Developers’ Projects
We are pleased to introduce our new analytics report, URA Prices of Private Residential Units Sold By Developers (Balance Units), which can be used to gain insight into the current stock of unsold new units available for sale in developers’ projects across the island.
Before you proceed, please note the following important points:
- The data underlying the analytics report is sourced from URA and corresponds with the online enquiry service Prices of Private Residential Units Sold By Developers. 36 months’ worth of data is available for our data retrieval.
- The URA data is updated only once a month on the 15th for the previous months’ sales, as submitted by developers. For example, the latest available update was on the 15th April 2018 for the month of March 2018.
- Additionally, the timeliness of the data is subjected to the diligence of the developers in submitting their sales data, as well as the responsiveness of URA system/processes in making this submitted data available to the enquiry service.
- Units highlighted in light blue (in the table) are new projects that have yet to be launched. They could have been soft launched for preview and cheque collection.
With the map visual, you can have a bird’s eye view of where in Singapore are all the projects with unsold units. You can also click on any bubble (representing a project) to narrow down the focus to just that project.
A comprehensive list of projects with unsold units (with their corresponding sales details) can be found in the table visual. This list will dynamically be updated to a shorter list whenever you filter by project or district.
The bar chart shows the list of projects with unsold units in descending order of Balance of Units, with Sold to Date information stacked on the upper portion of the bar.
The heat map shows all projects clustered together within a rectangle, with the size occupied by each project in an individual rectangle representing the Balance of Units value.
You can do your own analysis here using our Property Data Analytics report: