PropMedian transaction data
TAMAN ZETA @ ZETAPARK Transaction Price & PSF
TAMAN ZETA @ ZETAPARK · Serviced Apartment · Kuala Lumpur · W.P. Kuala Lumpur · Data through April 2026
These are transaction-based market benchmarks for the selected scope. They are not a valuation of an individual unit.
This targeted market snapshot examines the residential Serviced Apartment segment within TAMAN ZETA @ ZETAPARK, located in Kuala Lumpur, and provides guidance on reading the transaction data and interpreting the benchmark without implying guarantees or future price moves.
Market overview
The data points to the district and scheme as the central focus for activity within this residential category, with Serviced Apartment serving as the leading property type in TAMAN ZETA @ ZETAPARK. The pattern suggests concentration within the scheme and its immediate area, while it remains important to compare across property categories on their own terms.
How to interpret this market
Readers can use transaction benchmarks as a relative gauge, comparing the Serviced Apartment category within TAMAN ZETA @ ZETAPARK to other schemes or districts, while recognizing that individual units may differ in attributes beyond the category and that the dataset reflects aggregated activity rather than a forecast.
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 does the TAMAN ZETA @ ZETAPARK transaction benchmark tell me?
The benchmark reflects observed residential Serviced Apartment transactions within the scheme over the available period and should be treated as a guide for context rather than a promise of outcomes.
Should I compare Serviced Apartment with other property types?
Yes, it is best to compare within the same property type and within the same scheme or district, because different categories are tracked separately.
How should I evaluate a specific unit in TAMAN ZETA @ ZETAPARK?
Consider how a single unit may differ from the aggregated data in attributes beyond the category, since the dataset compiles many transactions and does not capture every unit feature.
Summary
In summary, use the benchmarks to understand relative positioning, compare property types separately, and apply caution when relating data to individual unit decisions.
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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%.