Dataset
housing-prices-malaysia-2025
A collection of 2,000 Malaysian property transaction records spanning every state offers a detailed look at the national housing market in 2025. Compiled from Brickz, a recognized source for real estate transaction data, it covers location, tenure, property type, median pricing, and transaction volumes.
Data preview
Dataset card
A 2,000-row tabular dataset of Malaysian residential property prices for 2025, scraped from iProperty and ultimately sourced from official Valuation and Property Services Department (JPPH) records via Brickz. It provides median pricing and transaction counts at the township level across all states.
What this dataset contains
The dataset covers roughly 2,000 township-level records of Malaysian residential real estate transactions dated for that year. Each row represents an aggregated view of pricing and transaction activity for a specific township, rather than individual property listings. Coverage spans all Malaysian states, with the schema indicating Area, State, and Tenure (Freehold or Leasehold) fields that allow segmentation by geography and ownership type.
Structure and fields
The file is delivered as CSV with eight columns: Township and Area (string), State (string), Tenure (string), Type (string, e.g., Terrace House), Median_Price (float64, MYR), Median_PSF (float64, MYR per square foot), and Transactions (int64). A single train split contains all 2,000 rows. License is tagged MIT on the source page but listed as unstated by the publisher, which investors should confirm before redistribution.
How analysts use it
Real-estate focused funds and macro analysts can use Median_Price, Median_PSF, and Transactions to benchmark Malaysian housing affordability, track regional price dispersion across states, and flag townships with unusual transaction momentum. The Type and Tenure fields support filtering for exposure to specific segments such as leasehold terrace houses. Given the small row count and aggregated granularity, it is best suited for descriptive market mapping rather than asset-level valuation models.
Documentation & references 1
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