PropMedian transaction data
D' ALAMANDA PUDU IMPIAN IV Transaction Price & PSF
D' ALAMANDA PUDU IMPIAN IV · Serviced Apartment · Kuala Lumpur · W.P. Kuala Lumpur · Data through August 2025
These are transaction-based market benchmarks for the selected scope. They are not a valuation of an individual unit.
This targeted market snapshot focuses on residential activity within D' ALAMANDA PUDU IMPIAN IV, examining the Serviced Apartment segment to explain how the scheme's transaction data can be interpreted without implying price direction or investment outcomes.
Market overview
In this market context, activity concentrates within the central district and the specific scheme named, with Serviced Apartment representing the primary residential category observed in the dataset. The dominant submarket within Kuala Lumpur Town Centre reflects where most transactions occur, and the scheme itself serves as the principal focus for understanding recent transactional behavior in this residential segment. The pattern suggests a consistent level of activity across the studied period, anchored by the scheme and district that dominate the observed transactions.
How to interpret this market
Use the transaction benchmarks as a contextual reference to gauge relative value within the same property type and within the same scheme or nearby area. Remember that a single property may differ in attributes not captured by the dataset, so benchmarks should guide comparisons rather than dictate outcomes. Separate analysis by property type is advisable to preserve comparability across market segments.
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Compare this scheme with the relevant district and property-type market.
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Compare asking prices with the transaction benchmark.
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What does this snapshot cover?
The snapshot centers on residential Serviced Apartment transactions within D' ALAMANDA PUDU IMPIAN IV, located in Kuala Lumpur district and Kuala Lumpur Town Centre mukim.
How should I use the transaction benchmarks?
View benchmarks as a contextual guide to understand relative value within the same property type and scheme. Do not extrapolate beyond the scope or assume outcomes for a specific property.
Why should property types be compared separately?
Different property categories exhibit distinct transaction patterns. This article focuses on the Serviced Apartment within the residential scope, and separate analysis is appropriate for other categories.
Summary
Maintain a cautious, comparative approach by examining property types separately and using transaction benchmarks as a contextual reference rather than a forecast or guarantee.
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Methodology
Median transaction price for the selected market scope.
Floor PSF is the median of valid transaction-level floor PSF values using main floor area, not median price divided by median floor area.
Unavailable measurements are not estimated or inferred.
Floor PSF is displayed when there are at least 10 valid PSF observations and coverage is at least 25%.