RESIDENSI NEST Transaction Price & PSF
RESIDENSI NEST Serviced Apartment Residential Property Market | residential | Data through October 2025
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.
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.
Serviced Apartment
This category is the explicit focus of the dataset and appears as the dominant representation within RESIDENSI NEST and in the Kuala Lumpur residential submarket.
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 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 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.
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%.