TINGGIAN TITIWANGSA @ THE REACH Transaction Price & PSF
TINGGIAN TITIWANGSA @ THE REACH Condominium/Apartment Residential Property Market | residential | Data through February 2025
This market article provides a cautious view of the residential market within TINGGIAN TITIWANGSA @ THE REACH, and explains how to interpret the available transaction data without implying demand, appreciation or investment outcomes.
Market overview
The interpretation of the overall mix points to a focus on the Condominium/Apartment segment within Kuala Lumpur Town Centre. The dominant scheme in the data is TINGGIAN TITIWANGSA @ THE REACH, and activity appears concentrated in that area and scheme. The observed price distribution suggests a spread across the market, indicating a range of configurations and values within the residential sector.
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
Within the residential sector, Condominium/Apartment transactions form the core of observed activity in Kuala Lumpur Town Centre under the Tinggian Titiyawangsa @ The Reach scheme. This category is the primary reference point in the dataset.
How to interpret this market
Readers can use transaction benchmarks as reference points to compare similar properties within the same scheme and district, while recognising that individual properties may differ in layout, orientation, and other attributes not captured by the aggregate data.
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 benchmark cover in this market snapshot?
The benchmark reflects observed residential Condominium/Apartment transactions within Kuala Lumpur Town Centre under the Tinggian Titiyawangsa @ The Reach scheme, as captured in the supplied dataset.
Should I expect price movements based on this data?
The data presented here are historical and do not provide forecasts, guarantees or claims about future appreciation.
Why should property types be compared separately?
Because the dataset records distinct activity patterns for each property category; comparing across categories can misrepresent the underlying market dynamics.
Summary
In summary, readers should compare property types and refer to transaction benchmarks as context, while remaining mindful that individual properties may differ from the aggregated patterns.
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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%.