Sri Ehsan Apartment
1, Jalan Ehsan Utama, Taman Desa Jaya, 52100 Kuala Lumpur, Selangor, Malaysia
1, Jalan Ehsan Utama, Taman Desa Jaya, 52100 Kuala Lumpur, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level G
|
RM330,000
|
RM393
|
840 sqft
|
|
|
|
Level 3
|
RM220,000
|
RM262
|
840 sqft
|
|
New Launches in Selangor
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Sri Ehsan Apartment
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Kepong
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM260,000
RM345 psfMedian transaction price
1, Jalan Ehsan Utama, Taman Desa Jaya, 52100 Kuala Lumpur, Selangor, Malaysia
MapsSri Ehsan Apartment in Gombak, Selangor recorded 3 subsale transactions in 2023, with a median price of RM260K and a median price per square foot (PSF) of RM345.
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 RM260K, with most transactions falling within a stable range of RM220K to RM305K, and a typical market range of RM220K to RM302K.
Most transactions involved condominium/apartment, though some variety exists in the market.
The median PSF stands at RM345, with core pricing between RM291 and RM399. Market pricing typically extends from RM303.07 to RM387.07, reflecting moderate variation in unit pricing. The spread of RM84.00 (IQR) and deviation of RM54 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.