PropMedian transaction data
MAJESTIC MAXIM CHERAS Transaction Price & PSF
MAJESTIC MAXIM CHERAS · 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.
This market article analyses the residential Serviced Apartment segment within MAJESTIC MAXIM CHERAS in Kuala Lumpur, to explain how transaction benchmarks in the scheme data should be read and interpreted without asserting future price moves or guarantees.
Market overview
The dataset shows a concentrated focus on the MAJESTIC MAXIM CHERAS scheme in Kuala Lumpur, with Serviced Apartment as the dominant residential category within the observed activity. Transaction patterns highlight activity centered on this scheme and property type in this district and mukim, without presenting numerical claims.
Property transaction benchmark
Median Parcel PSF is shown only where sufficient usable parcel area coverage supports the calculation.
Serviced Apartment
In this residential market, Serviced Apartment is the leading category within the MAJESTIC MAXIM CHERAS development. Readers should compare this category with other residential property types separately to avoid apples to apples comparisons.
How to interpret this market
Transaction benchmarks provide a contextual reference for where a property sits within observed activity, while recognising that an individual property may differ in size, condition, floor level or exact location within the scheme. Use benchmarks as a guide rather than a forecast for any single unit.
Explore the wider market
Compare this scheme with the relevant district and property-type market.
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Compare asking prices with the transaction benchmark.
View matching listings →Frequently asked questions
What is the main property type within the MAJESTIC MAXIM CHERAS residential market in this data?
The Serviced Apartment category is identified as the top property type for this scheme in the residential segment.
Should property types be compared with each other?
Yes; the data indicate that different property categories should be compared separately to maintain meaningful context.
How should I interpret transaction benchmarks?
Transaction benchmarks are a reference point derived from observed activity in the scheme and district and should not be relied on as a forecast or guarantee about any individual property.
Summary
Readers should compare property types within the residential segment and use transaction benchmarks as a tool to contextualise activity, not as a predictor of outcomes for any specific unit.
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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%.