Taman Perdana

Lorong Perdana 14, 14100 Simpang Ampat, Pulau Pinang, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM212,000
Level 5
646 sqft · RM328 PSF
RM170,000
Level 5
646 sqft · RM263 PSF
RM170,000
Level 1
646 sqft · RM263 PSF
RM165,000
Level G
646 sqft · RM255 PSF
RM170,000
Level 1
646 sqft · RM263 PSF
RM35,000
Level 5
646 sqft · RM54 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM170,000

RM263 psf

Median transaction price

Taman Perdana
© OpenStreetMap · CARTO

Lorong Perdana 14, 14100 Simpang Ampat, Pulau Pinang, Malaysia

Maps

Taman Perdana in Seberang Perai Selatan, Penang recorded 6 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM170K and a median price per square foot (PSF) of RM263.

This area contains both residential and commercial properties. View 65 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM170K, with most transactions falling within a stable range of RM115K to RM212K, and a typical market range of RM69K to RM212K.

Within the Low-Cost Flat category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM263, though individual units vary from RM177 to RM349 in the core range. The broader market spans RM209.86 to RM316.36, indicating diverse property characteristics. A wider spread (IQR: RM106.50) and deviation (MAD: RM86) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.