Taman Perwira

14, Jalan Perwira, Taman Perwira Indah, 14100 Simpang Ampat, Pulau Pinang, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 425,000
PSF
RM 371
Price Size
1,150 sqft
2-Sty Terrace
RM 380,000
Lorong Perwira 6
1,141 sqft · RM 333 PSF
RM 470,000
Jalan Perwira
1,141 sqft · RM 412 PSF
1,200 sqft
2-Sty Terrace
RM 488,000
Jalan Perwira 7
1,195 sqft · RM 408 PSF
3,350 sqft
Semi-D
RM 350,000
Jalan Perwira
3,337 sqft · RM 105 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 425,000

RM 371 psf

Median transaction price

RM 435,000

RM 311 psf

Median transaction price

Taman Perwira
© OpenStreetMap · CARTO

14, Jalan Perwira, Taman Perwira Indah, 14100 Simpang Ampat, Pulau Pinang, Malaysia

Maps

Taman Perwira in Seberang Perai Tengah, Penang recorded 4 subsale transactions in 2025, with a median price of RM 425K and a median price per square foot (PSF) of RM 371.

This area contains both residential and commercial properties. View 40 residential properties or 10 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 425K, with most transactions falling within a stable range of RM 367K to RM 483K, and a typical market range of RM 376K to RM 474K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM 371, though individual units vary from RM 246 to RM 496 in the core range. The broader market spans RM 312.77 to RM 428.27, indicating diverse property characteristics. A wider spread (IQR: RM 115.50) and deviation (MAD: RM 125) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.