Taman Sri Mawar

Taman Seri Mawar, 43500 Semenyih, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
2-Sty Terrace
RM370,000
Jalan Seri Mawar 3
1,119 sqft · RM331 PSF
RM340,000
Jalan Seri Mawar 4
1,119 sqft · RM304 PSF
RM460,000
Jalan Sri Mawar 3
1,119 sqft · RM411 PSF
RM550,000
Jalan Seri Mawar 3
1,119 sqft · RM491 PSF
RM360,000
Jalan Sri Mawar 4
1,119 sqft · RM322 PSF
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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Semenyih

Market Snapshot

Residential

RM370,000

RM331 psf

Median transaction price

Taman Sri Mawar
© OpenStreetMap · CARTO

Taman Seri Mawar, 43500 Semenyih, Selangor, Malaysia

Maps

Taman Sri Mawar in Hulu Langat, Selangor recorded 5 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM370K and a median price per square foot (PSF) of RM331.

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 RM370K, with most transactions falling within a stable range of RM340K to RM449K, and a typical market range of RM340K to RM514K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM331, though individual units vary from RM260 to RM401 in the core range. The broader market spans RM205.52 to RM455.52, indicating diverse property characteristics. The spread of RM250.00 (IQR) and deviation of RM70 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.