PropMedian transaction data
THE ELEMENTS Transaction Price & PSF
THE ELEMENTS · Serviced Apartment · Kuala Lumpur · W.P. Kuala Lumpur · Data through January 2026
These are transaction-based market benchmarks for the selected scope. They are not a valuation of an individual unit.
An analytical overview of THE ELEMENTS Serviced Apartment within the residential market, focusing on how to interpret the transaction benchmarks and what the scheme data imply for buyers and market observers.
Market overview
Within the residential segment, the Serviced Apartment category associated with THE ELEMENTS emerges as the central focus of activity in the Kuala Lumpur market. The data point to Kuala Lumpur as the dominant district and Mukim Ampang as the principal locality represented in the dataset, with THE ELEMENTS standing out as the leading scheme. The mix shows activity across different periods, reflecting variability in demand patterns, without implying a forecast of future movements.
How to interpret this market
Transaction benchmarks provide a directional reference for price levels within the Serviced Apartment residential segment. Use them to compare similar properties against the scheme-wide data, while recognizing that each property differs in aspects such as size, layout, and condition, which can influence value relative to the benchmark. The benchmarks are not guarantees of outcome and should be used in conjunction with broader market context.
Explore the wider market
Compare this scheme with the relevant district and property-type market.
View market hub →Browse current listings
Compare asking prices with the transaction benchmark.
View matching listings →Frequently asked questions
What is the scope of this market snapshot?
It covers the residential segment for Serviced Apartment within THE ELEMENTS in Kuala Lumpur, focusing on the specified district, mukim and state, and uses the supplied dataset as its basis.
How should I use transaction benchmarks for evaluating properties in this segment?
Treat benchmarks as directional guidance for price levels within this segment and scheme; do not rely on them as investment advice or predictions of future movements.
Why should property types be compared separately?
Because different categories can show distinct market dynamics; comparing categories separately ensures apples to apples analysis.
Summary
To navigate this market, compare the Serviced Apartment category against other residential property types within the same dataset, and use the transaction benchmarks as a directional tool. Always consider the specific attributes of an individual property when interpreting the data.
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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%.