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

4 subsales grouped by size

Median
RM375,000
PSF
RM342
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Condo
RM320,000
Level 1
868 sqft · RM369 PSF
RM300,000
Level 2
868 sqft · RM346 PSF
1,400 sqft
Townhouse
RM430,000
Level 1
1,419 sqft · RM303 PSF
RM480,000
Level 1
1,419 sqft · RM338 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sabha Impian/Crestin Park Apartment? Homes here sold for a median of RM375,000.

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Market Snapshot

Residential

RM375,000

RM342 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 4 subsale transactions in 2023, with a median price of RM375K and a median price per square foot (PSF) of RM342.

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 RM375K, with most transactions falling within a stable range of RM300K to RM450K, and a typical market range of RM300K to RM450K.

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

For price per square foot, the median is RM342, with most transactions between RM318 and RM365. The usual range is RM320.69 to RM363.19, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.50 and an average deviation (MAD) of RM24 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.