OUG Parklane
Jalan 1/152, Taman Perindustrian Oug, 58200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jalan 1/152, Taman Perindustrian Oug, 58200 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 |
|---|
|
Jalan 1/152
|
RM 1,350,000
|
RM 527
|
2,562 sqft
|
|
|
Jalan 1/152
|
RM 1,750,000
|
RM 481
|
3,638 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
OUG Parklane, Jalan 1/152, Taman Perindustrian Oug, 58200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsOUG Parklane in Kuala Lumpur, Kuala Lumpur recorded 2 3-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 1.55 million and a median price per square foot (PSF) of RM 504.
This area contains both residential and commercial properties. View 435 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 1.55 million, with most transactions falling within a stable range of RM 1.35 million to RM 1.75 million, and a typical market range of RM 1.46 million to RM 1.64 million.
Within the 3-Storey Shop category, serviced apartment dominated the market, with minimal variety in property types.
For price per square foot, the median is RM 504, with most transactions between RM 481 and RM 527. The usual range is RM 409.49 to RM 598.49, showing that most units are priced quite close to each other. With an IQR of RM 189.00 and MAD of RM 23, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.