Comparing HDB resale prices and transaction patterns across towns alongside changes in SORA interest rates.
In brief: Combined interest-rate data and town-level resale comparisons in one analytical workflow.
How did HDB resale prices and transaction patterns vary across towns as Singapore’s interest-rate environment changed?
I combined MAS SORA data with HDB resale transactions. SQL queries compared 2023 activity with earlier periods and isolated higher-value transactions. Python and GeoPandas aggregated the results by town and prepared maps.
The analysis examined:
The project provided a way to read financing conditions alongside local market activity. These comparisons describe how the series moved together; they do not isolate the effect of interest rates on prices.
The cover above illustrates the method. This screenshot preserves an output from the original project.
