Taman Sri Acre

Taman Seri Acres, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

18 subsales grouped by size · Flat →

Median
RM330,000
PSF
RM472
Period
transactions middle 50% (P25–P75)
500 sqft
LC Flat
RM150,000
Level 3
495 sqft · RM303 PSF
RM180,000
Level 4
495 sqft · RM364 PSF
RM190,000
Level 1
495 sqft · RM384 PSF
RM120,000
Level 3
495 sqft · RM242 PSF
700 sqft
Flat
RM380,000
Level 6
700 sqft · RM543 PSF
RM380,000
Level 17
700 sqft · RM543 PSF
RM330,000
Level 9
700 sqft · RM472 PSF
RM340,000
Level 15
700 sqft · RM486 PSF
RM350,000
Level 18
700 sqft · RM500 PSF
RM350,000
Level 7
700 sqft · RM500 PSF
+8 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM330,000

RM472 psf

Median transaction price

Taman Sri Acre
© OpenStreetMap · CARTO

Taman Seri Acres, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Taman Sri Acre in Barat Daya, Penang recorded 18 subsale transactions between 2021 and 2026, with a median price of RM330K and a median price per square foot (PSF) of RM472.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM330K, with most transactions falling within a stable range of RM314K to RM346K, and a typical market range of RM315K to RM345K.

Most transactions involved flats, though some variety exists in the market.

For price per square foot, the median is RM472, with most transactions between RM449 and RM494. The usual range is RM450.91 to RM492.41, showing that most units are priced quite close to each other. A typical spread (IQR) of RM41.50 and an average deviation (MAD) of RM23 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.