Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Putra 4/3
|
RM295,000
|
RM392
|
753 sqft
|
|
|
Level 3
|
RM560,000
|
RM409
|
1,369 sqft
|
|
|
|
Level 1
|
RM280,000
|
RM205
|
1,369 sqft
|
|
|
Jalan Putra 3/2
|
RM475,000
|
RM294
|
1,615 sqft
|
|
|
Jalan Putra 2
|
RM630,000
|
RM388
|
1,625 sqft
|
|
Selling in Taman Sri Putra? Homes here sold for a median of RM475,000.
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Taman Sri Putra
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 Tebrau
Market Snapshot
RM475,000
RM388 psfMedian transaction price
RM420,000
RM307 psfMedian transaction price
Taman Sri Putra, 81200 Johor Bahru, Johor Darul Ta'zim, Malaysia
MapsTaman Sri Putra in Johor Bahru, Johor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM475K and a median price per square foot (PSF) of RM388.
This area contains both residential and commercial properties. View 17 residential properties or 10 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM475K, with most transactions falling within a stable range of RM335K to RM615K, and a typical market range of RM299K to RM630K.
Most transactions involved low-cost house, with high diversity across multiple property types.
Price per square foot shows a median of RM388, though individual units vary from RM310 to RM465 in the core range. The broader market spans RM334.86 to RM440.36, indicating diverse property characteristics. The spread of RM105.50 (IQR) and deviation of RM78 (MAD) suggest moderate price variations reflecting different property features.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.