Taman Pandan Jaya
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
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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 Ampang
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
RM210,000
RM326 psfMedian transaction price
RM1,038,000
RM735 psfMedian transaction price
taman, Jalan Bunga Melati 16, Taman Seraya, 56100 Ampang Jaya, Selangor, Malaysia
MapsTaman Pandan Jaya in Hulu Langat, Selangor recorded 0 subsale transactions between 2021 and 2026, sized between 6,775 and 6,824 sqft, with a median price of RM220K and a median price per square foot (PSF) of RM329.
This area contains both residential and commercial properties. View 212 residential properties or 21 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM220K, with most transactions falling within a stable range of RM160K to RM280K, and a typical market range of RM138K to RM303K.
Most transactions involved flats, with high diversity across multiple property types.
The median PSF stands at RM329, with core pricing between RM264 and RM394. Market pricing typically extends from RM263.50 to RM394.50, reflecting moderate variation in unit pricing. The spread of RM131.00 (IQR) and deviation of RM65 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.