PropMedian transaction data
PANGSAPURI PERKHIDMATAN SUASANA Transaction Price & PSF
PANGSAPURI PERKHIDMATAN SUASANA · Serviced Apartment · Seberang Perai Selatan · Pulau Pinang · Data through April 2025
These are transaction-based market benchmarks for the selected scope. They are not a valuation of an individual unit.
This article analyzes the residential market for the Serviced Apartment segment within Pulau Pinang, focusing on the PANGSAPURI PERKHIDMATAN SUASANA scheme. The aim is to explain how to read the transaction data and benchmarks without implying future price movements or investment outcomes.
Market overview
The market view highlights the submarket focus for the residential segment within Seberang Perai Selatan and the PANGSAPURI PERKHIDMATAN SUASANA scheme. The dataset shows a dominant representation by the Serviced Apartment category in this area and describes how activity has evolved over the period. The discussion centers on historical transaction activity and price distribution without asserting a forecast.
How to interpret this market
Readers can use transaction benchmarks as descriptive references that reflect historical activity within the Serviced Apartment category in the specified scheme and district. Because individual properties differ in location, features and exact scheme boundaries, benchmarks should guide expectations but not predict outcomes. Different property categories should be compared separately, and comparisons should respect scheme and district boundaries.
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 is a transaction benchmark in this article?
It is a historical reference derived from past transactions within the Serviced Apartment category in the PANGSAPURI PERKHIDMATAN SUASANA scheme in Pulau Pinang. It is descriptive and not a forecast or investment guarantee.
Why should property types be compared separately?
Because the dataset presents results by property type, mixing categories can lead to misleading interpretations. Focus on like for like within the same scheme and district.
How should I interpret changes over time in the dataset?
The dataset shows how activity patterns shift across years; this information summarizes historical behavior, not future expectations.
Summary
Use these insights to compare property types and apply transaction benchmarks with attention to the scheme and district. Recognise that individual properties may differ and that benchmarks are historical references rather than predictions.
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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%.