Taman Cheras Hartamas
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Ch9
|
RM 2,400,000
|
RM 400
|
5,996 sqft
|
|
|
|
Jalan Ch9
|
RM 2,350,000
|
RM 392
|
5,996 sqft
|
|
|
Jalan Ch 9
|
RM 4,000,000
|
RM 329
|
12,163 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 2,400,000
RM 392 psfMedian transaction price
Taman Cheras Hartamas, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsTaman Cheras Hartamas in Hulu Langat, Selangor recorded 3 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 2.40 million and a median price per square foot (PSF) of RM 392.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 2.40 million, with most transactions falling within a stable range of RM 2.35 million to RM 3.17 million, and a typical market range of RM 2.35 million to RM 2.93 million.
Within the Bungalow category, flats dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM 392, with most transactions between RM 360 and RM 424. The usual range is RM 327.21 to RM 456.71, showing that most units are priced quite close to each other. With an IQR of RM 129.50 and MAD of RM 32, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.