PLATINIUM LAKE CONDO PV20 Transaction Price & PSF
PLATINIUM LAKE CONDO PV20 Condominium/Apartment Residential Property Market | residential | Data through November 2025
This targeted market snapshot focuses on the residential segment of a condominium scheme in Kuala Lumpur, outlining how to read the transaction data and interpret the benchmarks without implying future price directions or investment outcomes.
Market overview
Within the residential segment, the Condominium/Apartment category is the primary type represented in the dataset. The most active district is Kuala Lumpur, and Mukim Setapak shows notable activity. The scheme-level data features prominently within the observed set, and the profile indicates activity across multiple years, suggesting fluctuations rather than a single directional trend.
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 subset, this category captures urban, stratified housing units common in the market. Transactions in this category are influenced by scheme-specific attributes and the surrounding urban location.
How to interpret this market
Readers can use transaction benchmarks as reference points to gauge whether a property’s price level aligns with market activity, while recognising that specific unit features can cause deviations. For meaningful comparison, evaluate properties within the same category and within the same locality, and consider the longer-term activity pattern rather than a single data point.
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 category dominates the residential data for the scheme?
Condominium/Apartment is the primary residential category represented in the dataset for this scheme.
How should I use transaction benchmarks from this dataset?
Use benchmarks as a reference to understand a property's relative position within the market, while recognizing that individual unit features can cause deviations from the benchmark level.
Should this dataset be used to forecast future price movements?
No. The data are historical and should not be interpreted as forecasts or guarantees about future movements.
Summary
Readers should compare across property types and use transaction benchmarks to contextualize each property, avoiding assumptions about future price movements.
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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%.