WANGSA METROVIEW Transaction Price & PSF
WANGSA METROVIEW Condominium/Apartment Residential Property Market | residential | Data through April 2026
This targeted market snapshot examines the residential segment for WANGSA METROVIEW within Kuala Lumpur, focusing on how to interpret the transaction data and the scheme’s benchmarks without implying forecasts or guarantees.
Market overview
In the WANGSA METROVIEW dataset, activity within the residential category shows a clear emphasis on the condominium/apartment form. The information reflects how the scheme sits within the Kuala Lumpur market and how transaction patterns relate to the overall residential mix, while avoiding any assertion about future direction or investment outcomes.
Property type benchmarks
The figures below are calculated from transaction records in the PropMedian database. Median PSF is shown only where sufficient parcel area data is available.
Condominium/Apartment
Within the residential segment, Condominium/Apartment is the dominant property type observed for the WANGSA METROVIEW dataset, indicating that most activity and interest in this scheme centers on this form of housing.
How to interpret this market
Readers can use transaction benchmarks as a general reference when comparing similar properties, but should recognise that individual units differ in aspects such as layout and condition. When evaluating benchmarks, compare like with like within the same property type and scheme, and treat figures as a broad guide rather than a precise value for any specific unit.
Explore the underlying market
View the PropMedian property-data hub for this district to explore available property types and transaction benchmarks.
View Kuala Lumpur property dataFrequently asked questions
What property type is highlighted in this article?
Condominium/Apartment is identified as the primary property type within the residential segment for WANGSA METROVIEW in this dataset.
How should I use transaction benchmarks?
Use benchmarks as a general reference for comparing properties of the same type and within the same scheme; remember that individual attributes can cause variation.
Does the data indicate price direction in the near term?
No; this dataset does not provide a forecast or guarantee about future price direction.
Summary
Treat different property categories as separate comparisons and use transaction benchmarks as a cautious guide. Avoid assuming future movements or guarantees, and compare like with like to form a balanced view.
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Methodology
Median transaction price for the selected market scope.
Parcel PSF is the median of valid transaction-level parcel PSF values, not median price divided by median area.
Unavailable measurements are not estimated or inferred.
Parcel PSF is displayed when there are at least 10 valid PSF observations and coverage is at least 25%.