task_categories:feature-extraction task_categories:summarization language:en language:ms license:mit size_categories:1K<n<10K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: mit
task_categories:
- feature-extraction
- summarization
language:
- en
- ms
pretty_name: Housing Prices Malaysia 2025
size_categories:
- n<1K
---

This dataset contains **2,000** entries of house price data from all states in Malaysia, providing a comprehensive overview of the country’s real estate market for **2025**. Sourced from Brickz, a trusted platform for property transaction insights, it includes detailed information such as property location, tenure, type, median prices, and transaction counts. This dataset is ideal for real estate market analysis, predictive modeling, and exploring trends across Malaysia’s diverse property market.

![Kuala Lumpur, Malaysia](https://encrypted-tbn1.gstatic.com/licensed-image?q=tbn:ANd9GcR8ttDRWTx7dIxuUegBTsggS4a6tQrnNA6DEW_HJu2DphQNsverV0PYsSkdbSdqm4qRaRuBOh4Txbv11yXMxIKWqh-_WAkeTuQI8Diu-Q)

## Data Columns (Total 8 Columns):

1. **Township**: The specific township where the property is located (e.g., Cheras, Subang Jaya).
2. **Area**: The locality or broader area encompassing the township (e.g., Klang Valley, Penang Island).
3. **State**: The Malaysian state where the property is situated (e.g., Selangor, Johor, Penang).
4. **Tenure**: The property ownership type (e.g., Freehold, Leasehold).
5. **Type**: The category of property (e.g., Terrace, Condominium, Semi-Detached).
6. **Median_Price**: The median price (in MYR) for properties in the specified township or area.
7. **Median_PSF**: The median price per square foot (in MYR) for properties.
8. **Transactions**: The number of recorded property transactions.

## Future Plans:

- **Expanded Coverage**: This dataset will be regularly updated with additional property data to make it even more versatile.
- **Enhanced Features**: Future updates may include rental prices, amenities, or property-specific details to offer deeper insights into Malaysia’s housing market.

## Sources

The data was scraped from iProperty, a leading property listing platform in Malaysia, which aggregates transactional insights from Brickz. Brickz, in turn, compiles its data from official records maintained by the Malaysian Valuation and Property Services Department (JPPH).