Sri Angsana Hilir Condominium
A,B & C, Sri Angsana Hilir Condominium, Jalan Hilir 3, Desa Pandan, 55100 Kuala Lumpur, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 93,000
|
RM 138
|
672 sqft
|
|
|
|
Level 2
|
RM 70,000
|
RM 104
|
672 sqft
|
|
|
|
Level 1
|
RM 250,000
|
RM 372
|
672 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
ResidentialRM 93,000
RM 138 psfMedian transaction price
A,B & C, Sri Angsana Hilir Condominium, Jalan Hilir 3, Desa Pandan, 55100 Kuala Lumpur, Selangor, Malaysia
MapsSri Angsana Hilir Condominium in Hulu Langat, Selangor recorded 3 Flat properties subsale transactions between 2021 and 2026, with a median price of RM 93K and a median price per square foot (PSF) of RM 138.
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 93K, with most transactions falling within a stable range of RM 70K to RM 173K, and a typical market range of RM 70K to RM 199K.
Within the Flat category, condominium/apartment dominated the market, with moderate diversity in property types available.
Price per square foot shows a median of RM 138, though individual units vary from RM 19 to RM 257 in the core range. The broader market spans RM 55.39 to RM 221.39, indicating diverse property characteristics. A wider spread (IQR: RM 166.00) and deviation (MAD: RM 119) 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.