Residensi Hamstead

Jalan 9/118B, Desa Tun Razak, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

14 subsales grouped by size

Median
RM412,000
PSF
RM435
Price Size
Period
transactions middle 50% (P25–P75)
950 sqft
Condo
RM420,000
Level 34
947 sqft · RM444 PSF
RM419,000
Level 31
947 sqft · RM442 PSF
RM389,000
Level 16
947 sqft · RM411 PSF
RM400,000
Level 36
947 sqft · RM422 PSF
RM411,000
Level 16
947 sqft · RM434 PSF
RM420,000
Level 29
947 sqft · RM444 PSF
+8 more
Legend Recent Highest Price Highest PSF

Selling in Residensi Hamstead? Homes here sold for a median of RM412,000.

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Market Snapshot

Residential

RM412,000

RM435 psf

Median transaction price

Residensi Hamstead
© OpenStreetMap · CARTO

Jalan 9/118B, Desa Tun Razak, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Residensi Hamstead in Kuala Lumpur, Kuala Lumpur recorded 14 subsale transactions between 2021 and 2026, with a median price of RM412K and a median price per square foot (PSF) of RM435.

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 RM412K, with most transactions falling within a stable range of RM392K to RM432K, and a typical market range of RM402K to RM422K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM435, with most transactions between RM414 and RM456. The usual range is RM424.05 to RM446.05, showing that most units are priced quite close to each other. A typical spread (IQR) of RM22.00 and an average deviation (MAD) of RM21 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.