PropMedian Data Research

SURIAMAS APARTMENT Transaction Price & PSF

SURIAMAS APARTMENT Condominium/Apartment Residential Property Market | residential | Data through April 2026

Transactions
99
Property types
1
Data period
October 2021 - April 2026

This article provides a focused view of the residential market within SURIAM APARTMENT, a scheme located in Bandar Johor Bahru, Johor. It explains how to interpret the scheme data and how readers can use transaction benchmarks to understand market context without asserting price forecasts or investment claims.

Market overview

The residential market data for SURIAM APARTMENT shows that activity is concentrated within the Johor Bahru district, with Bandar Johor Bahru as the dominant mukim in this dataset. The scheme itself remains the leading source of transactions within the residential segment, and the Condominium/Apartment category is the primary property type represented. The year by year pattern suggests fluctuations in activity, including a historical peak and a lighter pace in other periods. The data imply a typical range of prices for this segment within the district, without presenting any forecast. When comparing markets, different property categories should be evaluated separately to avoid conflating signals from varying market dynamics.

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

Transactions
99
Median price
RM400,000
Median parcel area
1,055 sqft
Median parcel PSF
RM379.21 psf
Parcel PSF coverage
90.9%

Within the residential segment, Condominium/Apartment emerges as the leading category for SURIAM APARTMENT. This indicates that buyers in this scheme have predominantly engaged with multi unit, managed buildings that are commonly associated with a scheme and its facilities. The data show that this category accounts for the bulk of activity in the sample, reflecting a market preference within this residential niche.

How to interpret this market

Readers can use transaction benchmarks as a relative guide to understand where a property fits within the overall market pattern. Treat benchmarks as a reference point for comparing similar property types and schemes, while recognising that an individual unit may differ due to factors such as size, floor position, view and scheme characteristics. Remember to compare like with like by property type and by scheme, and to keep separate property types when evaluating market signals.

Explore the underlying market

View the PropMedian property-data hub for this district to explore available property types and transaction benchmarks.

View Johor Bahru property data

Frequently asked questions

What property type is shown as the leading category in the SURIAM APARTMENT residential market?

The dataset identifies Condominium/Apartment as the leading property type within the SURIAM APARTMENT scheme's residential segment, based on the transaction sample.

Where are most transactions concentrated within this dataset?

Transactions are concentrated in the Johor Bahru district, specifically the Bandar Johor Bahru mukim and the SURIAM APARTMENT scheme.

How should I use benchmarks when evaluating a property?

Use benchmarks as a general guide to understand market levels and patterns for the residential segment within this scheme, while keeping in mind that individual properties may differ and that this data does not forecast future movements.

Summary

In summary, readers should compare property types separately and use transaction benchmarks as a contextual guide for the SURIAM APARTMENT residential market. This approach helps avoid overgeneralisation and supports cautious interpretation of the data.

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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%.