Taman Pandan Jaya
Hot Area · Top 1%taman, Jalan Bunga Melati 16, Taman Seraya, 56100 Ampang Jaya, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 11
|
RM 420,000
|
RM 386
|
1,087 sqft
|
|
|
|
Level 10
|
RM 430,000
|
RM 396
|
1,087 sqft
|
|
|
|
Level 8
|
RM 500,000
|
RM 460
|
1,087 sqft
|
|
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
RM 425,000
RM 391 psfMedian transaction price
RM 840,000
RM 643 psfMedian transaction price
taman, Jalan Bunga Melati 16, Taman Seraya, 56100 Ampang Jaya, Selangor, Malaysia
MapsTaman Pandan Jaya in Hulu Langat, Selangor recorded 5 subsale transactions in 2021, with a median price of RM 430K and a median price per square foot (PSF) of RM 396.
This area contains both residential and commercial properties. View 45 residential properties or 4 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 430K, with most transactions falling within a stable range of RM 217K to RM 643K, and a typical market range of RM 268K to RM 593K.
Most transactions involved flats, with high diversity across multiple property types.
Price per square foot shows a median of RM 396, though individual units vary from RM 295 to RM 496 in the core range. The broader market spans RM 300.03 to RM 491.03, indicating diverse property characteristics. A wider spread (IQR: RM 191.00) and deviation (MAD: RM 100) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.