Taman Pandan Jaya

taman, Jalan Bunga Melati 16, Taman Seraya, 56100 Ampang Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM1,050,000
Jalan Pandan 5/5
2,045 sqft RM513 PSF
RM2,000,000
Jalan Pandan 8/6
3,003 sqft RM666 PSF
RM850,000
Jalan Pandan 10
2,906 sqft RM293 PSF
RM650,000
Jalan Pandan 10/3
3,145 sqft RM207 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM850,000

RM293 psf

Median transaction price

RM2,000,000

RM666 psf

Median transaction price

Taman Pandan Jaya
© OpenStreetMap · CARTO

taman, Jalan Bunga Melati 16, Taman Seraya, 56100 Ampang Jaya, Selangor, Malaysia

Maps

Taman Pandan Jaya in Hulu Langat, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 2,000 and 5,000 sqft, with a median price of RM950K and a median price per square foot (PSF) of RM403.

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 RM950K, with most transactions falling within a stable range of RM650K to RM1.47 million, and a typical market range of RM868K to RM1.03 million.

Most transactions involved flats, with high diversity across multiple property types.

Price per square foot shows a median of RM403, though individual units vary from RM222 to RM584 in the core range. The broader market spans RM337.46 to RM468.46, indicating diverse property characteristics. A wider spread (IQR: RM131.00) and deviation (MAD: RM181) indicate significant PSF variations, likely due to diverse property types or conditions.

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.