Damansara Heights (Bkt Damansara)
Bukit Damansara, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Bukit Damansara, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Setiabistari
|
RM 1,620,000
|
RM 1,067
|
1,518 sqft
|
|
|
Lorong Setia Bistari 5
|
RM 1,725,000
|
RM 1,041
|
1,658 sqft
|
|
|
Lorong Setia Jasa 1
|
RM 1,700,000
|
RM 897
|
1,894 sqft
|
|
|
Jalan Setiamurni 1
|
RM 3,650,000
|
RM 624
|
5,845 sqft
|
|
|
Lorong Setiabistari 1
|
RM 5,100,000
|
RM 772
|
6,609 sqft
|
|
|
Jalan Derumun
|
RM 8,380,000
|
RM 698
|
11,999 sqft
|
|
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Market Snapshot
ResidentialRM 2,687,500
RM 835 psfMedian transaction price
Bukit Damansara, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsDamansara Heights (Bkt Damansara) in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions in 2026, with a median price of RM 2.69 million and a median price per square foot (PSF) of RM 835.
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 2.69 million, with most transactions falling within a stable range of RM 1.62 million to RM 5.14 million, and a typical market range of RM 1.62 million to RM 4.63 million.
Most transactions involved detached, with moderate diversity in property types available.
The median PSF stands at RM 835, with core pricing between RM 668 and RM 1,001. Market pricing typically extends from RM 706.63 to RM 962.38, reflecting moderate variation in unit pricing. The spread of RM 255.75 (IQR) and deviation of RM 166 (MAD) suggest moderate price variations reflecting different property features.
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.