QUEENS RESIDENCES Q1 @ QUEENS WATERFRONT Transaction Price & PSF
QUEENS RESIDENCES Q1 @ QUEENS WATERFRONT Condominium/Apartment Residential Property Market | residential | Data through September 2024
Exploring the residential market within the Queens Waterfront development, this PropMedian analysis explains how buyers can interpret the scheme data without making unsupported claims.
Market overview
Within the residential segment under review, activity is concentrated in the condominium/apartment category for Barat Daya, Pulau Pinang. The dominant scheme in this scope is the Queens Waterfront development, indicating a clear focus area for transactions. The observed pattern shows fluctuations in activity over the covered period rather than a simple upward or downward trend. The data also suggests a price spread across captured units, with a meaningful share near the middle range.
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 this residential segment, condominium or apartment units are the central focus of the dataset. This category can include a variety of unit sizes and layouts within the principal development area and is tied to the scheme and district included in scope.
How to interpret this market
Transaction benchmarks can serve as a reference point to compare properties and understand broader market patterns. When evaluating a property, consider how features such as size, layout, condition and exact location relate to the benchmark, while recognizing that an single property may differ from the average or typical example.
Explore the underlying market
View the PropMedian property-data hub for this district to explore available property types and transaction benchmarks.
View Barat Daya property dataFrequently asked questions
Which property type category is represented in the residential dataset for this market?
Condominium/Apartment is the category shown in the dataset for the residential segment.
How should readers interpret transaction benchmarks given that individual properties may differ?
Use benchmarks as a reference guide rather than a predictor; individual features can affect the value.
What is the scope of the data in this snapshot?
The data covers the specified scheme within Barat Daya, Pulau Pinang, and spans multiple years up to the most recent period available in the dataset.
Summary
Readers should compare property types separately and use transaction benchmarks as a neutral reference to inform decision making, rather than relying on the data as a forecast.
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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%.