Taman Sabha Impian/Crestin Park Apartment

Jln Sabha Impian, Tmn Kajang Mulia, 43000 Kajang, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

2 subsales grouped by size

Median
RM715,000
PSF
RM400
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Condo
RM330,000
Level 1
868 sqft · RM380 PSF
2,650 sqft
Semi-D
RM1,100,000
Jalan Kajang Mulia 1
2,626 sqft · RM419 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sabha Impian/Crestin Park Apartment? Homes here sold for a median of RM715,000.

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Market Snapshot

Residential

RM715,000

RM400 psf

Median transaction price

Taman Sabha Impian/Crestin Park Apartment
© OpenStreetMap · CARTO

Jln Sabha Impian, Tmn Kajang Mulia, 43000 Kajang, Selangor, Malaysia

Maps

Taman Sabha Impian/Crestin Park Apartment in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM715K and a median price per square foot (PSF) of RM400.

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 RM715K, with most transactions falling within a stable range of RM330K to RM1.10 million, and a typical market range of RM640K to RM790K.

Most transactions involved condominium/apartment, with moderate diversity in property types available.

For price per square foot, the median is RM400, with most transactions between RM380 and RM419. The usual range is RM378.26 to RM420.76, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.50 and an average deviation (MAD) of RM19 indicate a highly stable PSF trend across properties.

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.