PropMedian transaction data
TITIWANGSA SENTRAL CONDO Transaction Price & PSF
TITIWANGSA SENTRAL CONDO · Serviced Apartment · Kuala Lumpur · W.P. Kuala Lumpur · Data through March 2026
These are transaction-based market benchmarks for the selected scope. They are not a valuation of an individual unit.
This PropMedian market article analyzes the TITIWANGSA SENTRAL CONDO residential market, focusing on the Serviced Apartment segment. The purpose is to explain how to interpret the transaction data and the concept of a transaction benchmark without making unsupported claims about appreciation or investment outcomes.
Market overview
In the residential segment, activity concentrates around the TITIWANGSA SENTRAL CONDO scheme within Kuala Lumpur. The data indicates Kuala Lumpur district as the dominant local market for this scheme, with the Kuala Lumpur Town Centre mukim providing the primary context. The Serviced Apartment category is the principal property type in the sample, signaling where most transactions occur. The price distribution suggests a range within the dataset, reflecting variation in unit attributes, but this narrative does not project future movements or guarantees.
Property transaction benchmark
Median Parcel PSF is shown only where sufficient usable parcel area coverage supports the calculation.
Serviced Apartment
This category covers residential units managed as serviced accommodations within a building. Transactions within TITIWANGSA SENTRAL CONDO show steady interest for Serviced Apartment units, indicating it is the core driver of activity in the residential segment for this scheme. The data implies a mid-range position within the observed market context, without implying certainty about outcomes.
How to interpret this market
Readers can use transaction benchmarks as a directional tool to gauge where a given property might sit within the market context. However, individual properties can differ in size, condition, floor level, and other attributes, so benchmarks are better used for comparison across like properties rather than as a precise valuation. It is important to compare across property categories separately to keep analysis relevant to the specific market segment being considered.
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Compare asking prices with the transaction benchmark.
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What does the market snapshot indicate for TITIWANGSA SENTRAL CONDO Serviced Apartment within the residential market?
The data shows Serviced Apartment transactions as the focal activity for the scheme within the Kuala Lumpur residential space, with the dominant submarket identified as Kuala Lumpur district and the primary local context being Kuala Lumpur Town Centre. The observed price distribution reflects a range of values across the sample.
How should I use transaction benchmarks when evaluating a property in this dataset?
Use benchmarks as directional context rather than a guarantee. Compare like properties within the same category, and remember that individual properties may differ in size, condition, and location within the scheme. Separate analysis by property category helps keep the interpretation reliable.
Which submarkets are most active for TITIWANGSA SENTRAL CONDO in this dataset?
Kuala Lumpur district and the Kuala Lumpur Town Centre mukim emerge as the dominant submarkets for this residential Serviced Apartment scheme within the dataset.
Summary
In summary, readers should compare property types separately and use transaction benchmarks to contextualize the market rather than forecast future price movements. Rely on the benchmark context to understand where a specific Serviced Apartment unit sits within the residential market for TITIWANGSA SENTRAL CONDO, while recognizing that individual properties may differ in key aspects.
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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%.