Taman Daya
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 143,000
|
RM 200
|
716 sqft
|
|
|
|
Level 2
|
RM 180,000
|
RM 251
|
716 sqft
|
|
|
|
Level 2
|
RM 108,000
|
RM 151
|
716 sqft
|
|
|
|
Level 2
|
RM 143,000
|
RM 200
|
716 sqft
|
|
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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
RM 143,000
RM 200 psfMedian transaction price
RM 120,500
RM 193 psfMedian transaction price
Taman Daya, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTaman Daya in Gombak, Selangor recorded 6 subsale transactions in 2024, with a median price of RM 143K and a median price per square foot (PSF) of RM 200.
This area contains both residential and commercial properties. View 23 residential properties or 6 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 143K, with most transactions falling within a stable range of RM 108K to RM 200K, and a typical market range of RM 108K to RM 196K.
Most transactions involved flats, with moderate diversity in property types available.
Price per square foot shows a median of RM 200, though individual units vary from RM 159 to RM 240 in the core range. The broader market spans RM 154.75 to RM 244.75, indicating diverse property characteristics. The spread of RM 90.00 (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.