Taman Sppk Segambut
Taman Segambut Sppk, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Taman Segambut Sppk, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Dutamas Seroja 1
|
RM 685,000
|
RM 618
|
1,109 sqft
|
|
Posts about Taman Sppk Segambut
No posts about Taman Sppk Segambut yet. Be the first to share what’s happening here.
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM 435,000
RM 457 psfMedian transaction price
Taman Segambut Sppk, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTaman Sppk Segambut in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions in 2025, with a median price of RM 435K and a median price per square foot (PSF) of RM 457.
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 435K, with most transactions falling within a stable range of RM 185K to RM 685K, and a typical market range of RM 332K to RM 538K.
Most transactions involved flats, with moderate diversity in property types available.
Price per square foot shows a median of RM 457, though individual units vary from RM 297 to RM 618 in the core range. The broader market spans RM 376.48 to RM 538.23, indicating diverse property characteristics. A wider spread (IQR: RM 161.75) and deviation (MAD: RM 161) indicate significant PSF variations, likely due to diverse property types or conditions.
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.