New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 250,000
|
RM 294
|
850 sqft
|
|
|
|
Level 6
|
RM 245,000
|
RM 288
|
850 sqft
|
|
|
|
Level 7
|
RM 250,000
|
RM 294
|
850 sqft
|
|
|
|
Level 9
|
RM 200,000
|
RM 235
|
850 sqft
|
|
|
|
Level 4
|
RM 228,000
|
RM 268
|
850 sqft
|
|
|
|
Level 4
|
RM 250,000
|
RM 294
|
850 sqft
|
|
Posts about Taman Bkt Ria
No posts about Taman Bkt Ria yet. Be the first to share what’s happening here.
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 237,500
RM 279 psfMedian transaction price
Taman Bukit Ria, 43000 Kajang, Selangor, Malaysia
MapsTaman Bkt Ria in Hulu Langat, Selangor recorded 18 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 238K and a median price per square foot (PSF) of RM 279.
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 238K, with most transactions falling within a stable range of RM 217K to RM 258K, and a typical market range of RM 200K to RM 275K.
Within the Condo/Apartment category, condominium/apartment dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM 279, with most transactions between RM 255 and RM 303. The usual range is RM 242.30 to RM 316.30, showing that most units are priced quite close to each other. With an IQR of RM 74.00 and MAD of RM 24, the PSF demonstrates reasonable consistency across the market.
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.