Taman Bandar Universiti Pt. Raja - Tr. 729
Bandar Universiti, 86400 Sri Gading, Johor Darul Ta'zim, Malaysia
Bandar Universiti, 86400 Sri Gading, Johor Darul Ta'zim, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM265,000
|
RM290
|
915 sqft
|
|
|
|
Level 1
|
RM250,000
|
RM273
|
915 sqft
|
|
|
|
Level 2
|
RM230,000
|
RM251
|
915 sqft
|
|
Selling in Taman Bandar Universiti Pt. Raja - Tr. 729? Homes here sold for a median of RM250,000.
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Sri Gading
Market Snapshot
ResidentialRM250,000
RM273 psfMedian transaction price
Bandar Universiti, 86400 Sri Gading, Johor Darul Ta'zim, Malaysia
MapsTaman Bandar Universiti Pt. Raja - Tr. 729 in Batu Pahat, Johor recorded 3 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM273.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM250K, with most transactions falling within a stable range of RM236K to RM264K, and a typical market range of RM230K to RM265K.
Within the Condo/Apartment category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.
For price per square foot, the median is RM273, with most transactions between RM258 and RM289. The usual range is RM260.24 to RM286.24, showing that most units are priced quite close to each other. A typical spread (IQR) of RM26.00 and an average deviation (MAD) of RM16 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.