PropMedian transaction data
RESIDENSI NEST Transaction Price & PSF
RESIDENSI NEST · Serviced Apartment · Kuala Lumpur · W.P. Kuala Lumpur · Data through October 2025
These are transaction-based market benchmarks for the selected scope. They are not a valuation of an individual unit.
This article analyzes the RESIDENSI NEST Serviced Apartment within the residential market, with a view to clarifying how to read the published transaction data and how buyers can use the benchmarks responsibly.
Market overview
Within the residential segment, the Serviced Apartment category is the focal point of this market snapshot. The data indicate that activity is concentrated in Kuala Lumpur, particularly within Mukim Petaling, and that the RESIDENSI NEST scheme features prominently in observed transactions. The pattern across years shows fluctuations in transaction activity rather than a single, linear trajectory. When comparing property types, readers should treat each category separately to avoid conflating trends across different market segments.
How to interpret this market
Transaction benchmarks provide directional guidance for evaluating similar properties. Use them as reference points for comparing within the same property type and within the same district or scheme, while recognizing that individual properties may differ in attributes not captured by the data.
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 does the data indicate about the submarket focus for RESIDENSI NEST Serviced Apartment in Kuala Lumpur?
The data show concentration of activity in Kuala Lumpur and in Mukim Petaling, with RESIDENSI NEST representing the leading scheme within this property type in the residential submarket.
How should buyers use the transaction benchmarks without implying a future forecast?
Treat benchmarks as reference points for comparing similar properties within the same category and scheme; do not treat them as predictions, and account for variations among individual properties.
What does the historical pattern in the dataset suggest about market variability?
The dataset indicates variability in activity across years, rather than a single constant pattern, underscoring the importance of comparing like with like and avoiding broad generalizations.
Summary
Readers should compare Serviced Apartment representations within RESIDENSI NEST against other property types in the same district, using transaction benchmarks as contextual reference. Interpret the data with caution and recognise that individual properties may differ in ways not captured by the dataset.
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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%.