Idaman Grand Residence/Sentosa Idaman

Jln Laksamana KS/07, Taman Sentosa Idaman, 41200 Klang, Selangor, Malaysia

Property Transactions

5 subsales grouped by size · 2-Sty Terrace →

Median
RM 475,000
PSF
RM 394
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Townhouse
RM 475,000
Level 1
1,206 sqft · RM 394 PSF
RM 460,000
Level 2
1,206 sqft · RM 382 PSF
RM 475,000
Level 1
1,206 sqft · RM 394 PSF
RM 475,000
Level 1
1,206 sqft · RM 394 PSF
3,550 sqft
2-Sty Terrace
RM 1,300,000
Lorong Laksamana/Ks07
3,541 sqft · RM 367 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 475,000

RM 394 psf

Median transaction price

Idaman Grand Residence/Sentosa Idaman
© OpenStreetMap · CARTO

Jln Laksamana KS/07, Taman Sentosa Idaman, 41200 Klang, Selangor, Malaysia

Maps

Idaman Grand Residence/Sentosa Idaman in Klang, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 475K and a median price per square foot (PSF) of RM 394.

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 RM 475K, with most transactions falling within a stable range of RM 460K to RM 807K, and a typical market range of RM 460K to RM 830K.

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

For price per square foot, the median is RM 394, with most transactions between RM 383 and RM 405. The usual range is RM 330.50 to RM 457.50, showing that most units are priced quite close to each other. With an IQR of RM 127.00 and MAD of RM 11, the PSF demonstrates reasonable consistency across the market.

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.