Residensi The Houte Gurney
The Haute Gurney KL, No. 3, Jalan Bukit Keramat, Kampung Datuk Keramat, 54000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
The Haute Gurney KL, No. 3, Jalan Bukit Keramat, Kampung Datuk Keramat, 54000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
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Residensi The Houte Gurney
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Mukim Setapak
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
The Haute Gurney KL, No. 3, Jalan Bukit Keramat, Kampung Datuk Keramat, 54000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsResidensi The Houte Gurney in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, with a median price of RM745K and a median price per square foot (PSF) of RM545.
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 RM745K, with most transactions falling within a stable range of RM570K to RM920K, and a typical market range of RM658K to RM833K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM545, with most transactions between RM523 and RM566. The usual range is RM534.16 to RM555.66, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.50 and an average deviation (MAD) of RM22 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.