Perumahan Rakyat Pantai Permai
Pantai Permai, Kampung Pantai, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Pantai Permai, Kampung Pantai, 59200 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 15
|
RM 270,000
|
RM 415
|
650 sqft
|
|
|
|
Level 9
|
RM 245,000
|
RM 377
|
650 sqft
|
|
|
|
Level 4
|
RM 215,000
|
RM 331
|
650 sqft
|
|
|
|
Level 12
|
RM 250,000
|
RM 385
|
650 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 247,500
RM 381 psfMedian transaction price
Pantai Permai, Kampung Pantai, 59200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsPerumahan Rakyat Pantai Permai in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2022, with a median price of RM 248K and a median price per square foot (PSF) of RM 381.
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 248K, with most transactions falling within a stable range of RM 228K to RM 267K, and a typical market range of RM 233K to RM 263K.
Most transactions involved low-cost flat, with minimal variety in property types.
For price per square foot, the median is RM 381, with most transactions between RM 350 and RM 411. The usual range is RM 357.25 to RM 404.25, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 47.00 and an average deviation (MAD) of RM 30 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.