Taman Ampang Hilir
taman, Jalan Bunga Melati 16, Taman Seraya, 56100 Ampang Jaya, Selangor, Malaysia
taman, Jalan Bunga Melati 16, Taman Seraya, 56100 Ampang Jaya, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM 255,000
|
RM 316
|
807 sqft
|
|
|
|
Level 2
|
RM 270,000
|
RM 334
|
807 sqft
|
|
|
|
Level 4
|
RM 300,000
|
RM 374
|
802 sqft
|
|
|
Level 2
|
RM 370,000
|
RM 258
|
1,432 sqft
|
|
|
|
Level 5
|
RM 380,000
|
RM 265
|
1,432 sqft
|
|
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 285,000
RM 291 psfMedian transaction price
taman, Jalan Bunga Melati 16, Taman Seraya, 56100 Ampang Jaya, Selangor, Malaysia
MapsTaman Ampang Hilir in Hulu Langat, Selangor recorded 6 subsale transactions in 2023, with a median price of RM 285K and a median price per square foot (PSF) of RM 291.
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 285K, with most transactions falling within a stable range of RM 205K to RM 365K, and a typical market range of RM 215K to RM 355K.
Most transactions involved condominium/apartment, though some variety exists in the market.
The median PSF stands at RM 291, with core pricing between RM 243 and RM 339. Market pricing typically extends from RM 254.65 to RM 326.65, reflecting moderate variation in unit pricing. The spread of RM 72.00 (IQR) and deviation of RM 48 (MAD) suggest moderate price variations reflecting different property features.
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.