Taman Sri Muda, Sek. 25, Shah Alam

22a, Jalan Murni 25/61, Taman Sri Muda, 40400 Shah Alam, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
2-Sty Terrace
RM60,000
Jalan 25/23A
700 sqft · RM86 PSF
950 sqft
2-Sty Terrace
RM450,000
Jalan Jujur 25/30
936 sqft · RM481 PSF
1,250 sqft
2-Sty Terrace
RM390,000
Jalan Hikmat Dua 25/82B
1,259 sqft · RM310 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sri Muda, Sek. 25, Shah Alam? Homes here sold for a median of RM390,000.

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Market Snapshot

Residential

RM390,000

RM310 psf

Median transaction price

Taman Sri Muda, Sek. 25, Shah Alam
© OpenStreetMap · CARTO

22a, Jalan Murni 25/61, Taman Sri Muda, 40400 Shah Alam, Selangor, Malaysia

Maps

Taman Sri Muda, Sek. 25, Shah Alam in Klang, Selangor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM390K and a median price per square foot (PSF) of RM310.

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 RM390K, with most transactions falling within a stable range of RM219K to RM450K, and a typical market range of RM339K to RM441K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM310, though individual units vary from RM148 to RM472 in the core range. The broader market spans RM249.38 to RM370.63, indicating diverse property characteristics. A wider spread (IQR: RM121.25) and deviation (MAD: RM162) indicate significant PSF variations, likely due to diverse property types or conditions.

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.