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 |
|---|
|
Level G
|
RM 400,000
|
RM 457
|
876 sqft
|
|
|
|
Level 1
|
RM 470,000
|
RM 512
|
918 sqft
|
|
|
|
Level 1
|
RM 330,000
|
RM 377
|
876 sqft
|
|
|
|
Level G
|
RM 350,000
|
RM 399
|
876 sqft
|
|
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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 375,000
RM 428 psfMedian transaction price
Taman Segambut Sppk, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTaman Sppk Segambut in Kuala Lumpur, Kuala Lumpur recorded 4 Town House properties subsale transactions between 2021 and 2026, with a median price of RM 375K and a median price per square foot (PSF) of RM 428.
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 375K, with most transactions falling within a stable range of RM 330K to RM 429K, and a typical market range of RM 330K to RM 470K.
Within the Town House category, flats dominated the market, with moderate diversity in property types available.
The median PSF stands at RM 428, with core pricing between RM 375 and RM 481. Market pricing typically extends from RM 347.12 to RM 508.87, reflecting moderate variation in unit pricing. With an IQR of RM 161.75 and MAD of RM 53, the PSF demonstrates reasonable consistency across the market.
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.