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

Median
RM172,500
PSF
RM206
Price Size
Period
transactions middle 50% (P25–P75)
RM180,000
Level 1
840 sqft RM214 PSF
RM180,000
Level 2
834 sqft RM216 PSF
RM145,000
Level 3
848 sqft RM171 PSF
RM165,000
Level 3
834 sqft RM198 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Pandan Jaya? Homes here sold for a median of RM172,500.

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Market Snapshot

RM172,500

RM206 psf

Median transaction price

RM600,000

RM577 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 825 and 874 sqft, with a median price of RM173K and a median price per square foot (PSF) of RM206.

This area contains both residential and commercial properties. View 45 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM173K, with most transactions falling within a stable range of RM158K to RM180K, and a typical market range of RM145K to RM180K.

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

For price per square foot, the median is RM206, with most transactions between RM188 and RM224. The usual range is RM110.62 to RM301.62, showing that most units are priced quite close to each other. With an IQR of RM191.00 and MAD of RM18, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.