PropMedian transaction data
SCOTT TOWERS @ LARKIN JB Transaction Price & PSF
SCOTT TOWERS @ LARKIN JB · Condominium/Apartment · Johor Bahru · Johor · Data through April 2026
These are transaction-based market benchmarks for the selected scope. They are not a valuation of an individual unit.
This article presents a focused look at the residential market for SCOTT TOWERS @ LARKIN JB, using trusted transaction data to explain how to read the scheme data without asserting price movements or investment outcomes.
Market overview
Within the residential segment, Condominium/Apartment is the primary property type represented in the dataset for the SCOTT TOWERS @ LARKIN JB scheme in Johor Bahru. The top district and mukim align with Johor Bahru and Bandar Johor Bahru, reflecting the geographic focus of the transactions. The data covers multiple years in the period, with the most active year recording the highest level of activity and the latest year showing comparatively fewer transactions. Overall, the market signal points to concentration within the specified district and scheme, under the umbrella of the Condominium/Apartment category.
How to interpret this market
Readers can use transaction benchmarks as a relative guide to compare across property types and schemes. Remember that individual properties may differ due to features and conditions not captured by the benchmark, so context matters when interpreting 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 is encompassed by the market snapshot for SCOTT TOWERS @ LARKIN JB in the residential segment?
It covers Condominium/Apartment transactions within Johor state, Johor Bahru district, Bandar Johor Bahru mukim, for the SCOTT TOWERS @ LARKIN JB scheme, during the period represented by the dataset.
How should readers interpret the transaction benchmarks when evaluating a specific property?
Treat benchmarks as a relative reference: they help compare across schemes and property types, but an individual property may differ due to features not captured in the benchmark.
What patterns exist in market activity across years in this dataset?
The dataset shows that the most active year had more transactions than the latest year.
Summary
In summary, compare property types separately and use transaction benchmarks as a guiding reference. Individual properties may vary, and there is no claim of price direction or investment outcome based on benchmarks alone.
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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%.