New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2024 | |||||
|
Level 1
|
RM 120,000
|
RM 174
|
689 sqft
|
|
Flat |
|
Level 2
|
RM 110,000
|
RM 153
|
721 sqft
|
|
Flat |
|
Level 1
|
RM 135,000
|
RM 187
|
721 sqft
|
|
Flat |
|
Level G
|
RM 390,000
|
RM 272
|
1,432 sqft
|
|
Shop |
|
Level 1
|
RM 150,000
|
RM 208
|
721 sqft
|
|
Flat |
|
Level 1
|
RM 130,000
|
RM 163
|
797 sqft
|
|
Flat |
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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 174 psfMedian transaction price
Taman Sri Sentosa Jaya, 41000 Klang, Selangor, Malaysia
MapsTaman Sentosa Jaya in Klang, Selangor recorded 6 subsale transactions in 2024, with a median price of RM 133K and a median price per square foot (PSF) of RM 181.
This area contains both residential and commercial properties. View 33 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 133K, with most transactions falling within a stable range of RM 110K to RM 231K, and a typical market range of RM 111K to RM 155K.
Most transactions involved flats, though some variety exists in the market.
Price per square foot shows a median of RM 181, though individual units vary from RM 141 to RM 220 in the core range. The broader market spans RM 148.69 to RM 212.69, indicating diverse property characteristics. The spread of RM 64.00 (IQR) and deviation of RM 40 (MAD) suggest moderate price variations reflecting different property features.
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.