PropMedian transaction data
FOREST CITY Transaction Price & PSF
FOREST CITY · Serviced Apartment · Johor Bahru · Johor · Data through June 2026
These are transaction-based market benchmarks for the selected scope. They are not a valuation of an individual unit.
FOREST CITY Serviced Apartment in Johor is a residential market segment. This article uses the supplied transaction data to explain how buyers can interpret the transaction benchmarks and approach scheme data without claiming price directions or investment outcomes.
Market overview
Within the residential segment, the FOREST CITY scheme is a major focus for Serviced Apartment transactions. The data identify Johor Bahru as the primary district and Tanjung Kupang as the main mukim for activity, with FOREST CITY as the dominant scheme. There is a visible spread in price examples, reflecting a mix of unit types and configurations, and transaction activity has varied across years, with some periods showing more activity than others year by year. The market shows distinct submarkets that should be compared separately rather than lumped together.
How to interpret this market
Readers can use the transaction benchmarks as a contextual guide to gauge how a specific property may fit within the broader pattern. Recognise that individual properties differ in attributes such as location within the scheme and unit type. It is useful to compare by property type and by submarket, rather than comparing across unrelated categories, to form a more grounded understanding.
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 FOREST CITY market indicate about Serviced Apartment transactions?
The data show that transactions within the Serviced Apartment segment are concentrated within the FOREST CITY scheme, with activity more evident in the identified district and mukim. Interpretations should be based on the supplied data and avoid extrapolation.
How should I compare benchmarks across property types?
Compare within the same property type and, where possible, by submarket or scheme. Do not mix different property types when assessing benchmarks.
Can these figures forecast future prices?
The figures reflect historical transaction data and are not a guarantee of future price movements.
Summary
Readers should compare property types separately and use transaction benchmarks to form a cautious understanding of the market. Individual properties may differ, so use benchmarks as context rather than a single expectation.
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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%.