SRI DESA Transaction Price & PSF
SRI DESA Condominium/Apartment Residential Property Market | residential | Data through September 2025
This targeted market snapshot examines the residential segment for Condominium/Apartment within the SRI DESA scheme in Kuala Lumpur, with the aim of clarifying how the transaction benchmark works and how readers can interpret the scheme data without drawing unsupported conclusions.
Market overview
Within Kuala Lumpur, the SRI DESA scheme concentrates activity in the Condominium/Apartment category, which forms the primary submarket for this scope. The data portray how this submarket participates over time, while acknowledging that different property categories can exhibit distinct dynamics. Users should compare property types separately when assessing market performance to avoid conflating separate market behaviours.
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
In the residential segment, the Condominium/Apartment category represents the core focus for the SRI DESA scheme in Kuala Lumpur. The available data indicate that this submarket drives the majority of activity within the scheme and should be interpreted on its own terms, rather than assuming that trends apply across other property types.
How to interpret this market
Readers can use transaction benchmarks as reference points for comparing similar properties within the same category and scheme, while acknowledging that individual properties may differ in location, layout, or condition.
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 does the data cover for this market?
The dataset focuses on residential Condominium/Apartment transactions within the SRI DESA scheme in Kuala Lumpur.
Why should different property categories be compared separately?
Because activity and price patterns can vary by category, comparisons should be made within the same category rather than across categories.
How should buyers interpret the transaction benchmark and the scheme data?
Treat the benchmark as a reference point and consider submarket and property features; avoid assuming outcomes.
Summary
Readers should compare property types separately and use the transaction benchmarks to inform assessment, while avoiding overconfidence in future movements or investment claims.
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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%.