Taman Pandan Jaya

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

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From
RM 600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM 360,000
PSF
RM 334
Price Size
500 sqft
LC Flat
RM 140,000
Level G
484 sqft · RM 289 PSF
650 sqft
Flat
RM 200,000
Level 1
635 sqft · RM 315 PSF
1,100 sqft
Condo
RM 520,000
Level 8
1,087 sqft · RM 478 PSF
1,500 sqft
Terrace
RM 530,000
Jalan Pandan 10/1
1,496 sqft · RM 354 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

RM 360,000

RM 334 psf

Median transaction price

RM 600,000

RM 577 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, with a median price of RM 360K and a median price per square foot (PSF) of RM 334.

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 RM 360K, with most transactions falling within a stable range of RM 181K to RM 530K, and a typical market range of RM 198K to RM 523K.

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

Price per square foot shows a median of RM 334, though individual units vary from RM 262 to RM 407 in the core range. The broader market spans RM 238.96 to RM 429.96, indicating diverse property characteristics. The spread of RM 191.00 (IQR) and deviation of RM 73 (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.