PLATINUM LAKE CONDO PV10 Transaction Price & PSF
PLATINUM LAKE CONDO PV10 Condominium/Apartment Residential Property Market | residential | Data through April 2025
This article reviews the residential market segment for a Kuala Lumpur condominium scheme, with the goal of explaining how to interpret the transaction data without implying price movement or investment outcomes.
Market overview
Within the dataset, the market appears to be led by the condominium/apartment category in Kuala Lumpur. The geographic focus centers on Kuala Lumpur proper and the Mukim Setapak area, with the condominium/apartment segment shown as the dominant property type. Transactions are concentrated in the scheme area relevant to this dataset, indicating a clear submarket focus rather than a broad cross‑section.
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
The condominium/apartment category is the key residential segment in this dataset, and it is the focus of the scheme-specific activity described in the data.
How to interpret this market
Readers can use the transaction benchmarks as a reference while recognizing that individual listings may differ due to location, building condition, or other factors. Benchmarks describe observed data for this market, not a guaranteed outcome for any single property.
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 transaction benchmark cover in this market segment?
The benchmark is derived from reported transactions within the residential condominium category for Kuala Lumpur, centred on a specific scheme's activity, and viewed as a reference rather than a guaranteed outcome.
Should I expect the same results for my individual property?
Not necessarily; benchmarks summarize the data and may differ from a given property due to location, condition and other factors.
How should I compare different property types when using these benchmarks?
Compare each property type separately to reflect distinct dynamics across segments and avoid cross category mixing.
Summary
The analysis supports looking at property types separately and using transaction benchmarks as a reference tool, while avoiding assumptions about future price movements or investment outcomes.
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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%.