Taman Pauh Damai

Lorong Damai 6, Taman Permata, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

14 subsales grouped by size · LC Flat →

Median
RM 197,500
PSF
RM 311

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
LC Flat
RM 200,000
Level G
614 sqft · RM 326 PSF
RM 180,000
Level 1
614 sqft · RM 293 PSF
RM 220,000
Level 4
635 sqft · RM 346 PSF
RM 185,000
Level 4
635 sqft · RM 291 PSF
RM 215,000
Level 3
635 sqft · RM 339 PSF
RM 195,000
Level 2
635 sqft · RM 307 PSF
RM 200,000
Level G
635 sqft · RM 315 PSF
RM 210,000
Level 1
635 sqft · RM 331 PSF
+6 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 197,500

RM 311 psf

Median transaction price

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Lorong Damai 6, Taman Permata, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Pauh Damai in Seberang Perai Tengah, Penang recorded 14 subsale transactions between 2021 and 2026, with a median price of RM 198K and a median price per square foot (PSF) of RM 311.

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 RM 198K, with most transactions falling within a stable range of RM 181K to RM 214K, and a typical market range of RM 181K to RM 214K.

Most transactions involved low-cost flat, though some variety exists in the market.

For price per square foot, the median is RM 311, with most transactions between RM 285 and RM 337. The usual range is RM 287.49 to RM 334.49, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 47.00 and an average deviation (MAD) of RM 26 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.