Flat Taman Dato' Harun-PJS 2
PJ Seksyen 2C - 2D, 46000 Petaling Jaya, Selangor, Malaysia
PJ Seksyen 2C - 2D, 46000 Petaling Jaya, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 5
|
RM 135,000
|
RM 228
|
592 sqft
|
|
LC Flat |
|
Level 1
|
RM 160,000
|
RM 270
|
592 sqft
|
|
LC Flat |
|
Level G
|
RM 170,000
|
RM 287
|
592 sqft
|
|
Flat |
|
Level 4
|
RM 130,000
|
RM 220
|
592 sqft
|
|
LC Flat |
|
Level 5
|
RM 145,000
|
RM 245
|
592 sqft
|
|
LC Flat |
|
Level 4
|
RM 135,000
|
RM 228
|
592 sqft
|
|
LC Flat |
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 130,000
RM 220 psfMedian transaction price
PJ Seksyen 2C - 2D, 46000 Petaling Jaya, Selangor, Malaysia
MapsFlat Taman Dato' Harun-PJS 2 in Petaling, Selangor recorded 13 subsale transactions between 2021 and 2026, with a median price of RM 130K and a median price per square foot (PSF) of RM 245.
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 130K, with most transactions falling within a stable range of RM 115K to RM 145K, and a typical market range of RM 118K to RM 143K.
Most transactions involved low-cost flat, with minimal variety in property types.
The median PSF stands at RM 245, with core pricing between RM 220 and RM 270. Market pricing typically extends from RM 223.92 to RM 265.92, reflecting moderate variation in unit pricing. With an IQR of RM 42.00 and MAD of RM 25, the PSF demonstrates reasonable consistency across the market.
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.