Taman Sri Muda, Sek. 25 Shah Alam

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

Property Transactions

2 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM420,000
Jalan Tokoh Dua 25/28B
1,087 sqft RM386 PSF
RM280,000
Jalan Lunak Dua 25/118B
1,098 sqft RM255 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sri Muda, Sek. 25 Shah Alam? Homes here sold for a median of RM350,000.

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Market Snapshot

RM350,000

RM321 psf

Median transaction price

RM1,888,000

RM1,128 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 2 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM350K and a median price per square foot (PSF) of RM321.

This area contains both residential and commercial properties. View 141 residential properties or 84 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM350K, with most transactions falling within a stable range of RM280K to RM420K, and a typical market range of RM280K to RM420K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM321, though individual units vary from RM255 to RM386 in the core range. The broader market spans RM0.00 to RM707.68, indicating diverse property characteristics. The spread of RM774.00 (IQR) and deviation of RM66 (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.