Taman Miharja
55200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
55200 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 3/93
|
RM 2,650,000
|
RM 520
|
5,091 sqft
|
|
|
|
Jalan 3/93
|
RM 1,900,000
|
RM 373
|
5,091 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
ResidentialRM 249,000
RM 325 psfMedian transaction price
Taman Miharja, 55200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTaman Miharja in Kuala Lumpur, Kuala Lumpur recorded 2 3-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 2.28 million and a median price per square foot (PSF) of RM 447.
This area contains both residential and commercial properties. View 54 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 2.28 million, with most transactions falling within a stable range of RM 1.90 million to RM 2.65 million, and a typical market range of RM 2.26 million to RM 2.29 million.
Within the 3-Storey Shop category, flats dominated the market, with moderate diversity in property types available.
The median PSF stands at RM 447, with core pricing between RM 373 and RM 520. Market pricing typically extends from RM 395.34 to RM 498.34, reflecting moderate variation in unit pricing. The spread of RM 103.00 (IQR) and deviation of RM 74 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.