New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM143,000
|
RM214
|
667 sqft
|
|
|
|
Level 5
|
RM150,000
|
RM225
|
667 sqft
|
|
|
|
Level 1
|
RM185,000
|
RM277
|
667 sqft
|
|
|
|
Level 4
|
RM160,000
|
RM240
|
667 sqft
|
|
|
|
Level 5
|
RM150,000
|
RM225
|
667 sqft
|
|
|
|
Level 2
|
RM150,000
|
RM225
|
667 sqft
|
|
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Taman Permai Jaya
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 Bandar Ampang
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
Market Snapshot
ResidentialRM150,000
RM225 psfMedian transaction price
Taman Permai Jaya, 68000 Ampang, Selangor, Malaysia
MapsTaman Permai Jaya in Hulu Langat, Selangor recorded 10 subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM225.
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 RM150K, with most transactions falling within a stable range of RM142K to RM159K, and a typical market range of RM143K to RM157K.
Most transactions involved low-cost flat, with minimal variety in property types.
For price per square foot, the median is RM225, with most transactions between RM212 and RM238. The usual range is RM213.90 to RM235.65, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.75 and an average deviation (MAD) of RM13 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.