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 1
|
RM 158,000
|
RM 286
|
552 sqft
|
|
|
|
Level G
|
RM 160,000
|
RM 290
|
552 sqft
|
|
|
|
Level 2
|
RM 138,000
|
RM 250
|
552 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 158,000
RM 286 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 3 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 158K and a median price per square foot (PSF) of RM 286.
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 158K, with most transactions falling within a stable range of RM 148K to RM 160K, and a typical market range of RM 138K to RM 160K.
Within the Low-Cost Flat category, flats dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM 286, with most transactions between RM 268 and RM 304. The usual range is RM 241.25 to RM 331.25, showing that most units are priced quite close to each other. With an IQR of RM 90.00 and MAD of RM 18, 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.