Halaman Murni
Jalan, Kampung Perlis, 11900 Bayan Lepas, Pulau Pinang, Malaysia
Jalan, Kampung Perlis, 11900 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 6
|
RM 200,000
|
RM 395
|
506 sqft
|
|
LC Flat |
|
Level 1
|
RM 165,000
|
RM 333
|
495 sqft
|
|
LC Flat |
|
Level 5
|
RM 157,000
|
RM 317
|
495 sqft
|
|
Flat |
|
Level 4
|
RM 110,000
|
RM 222
|
495 sqft
|
|
LC Flat |
|
Level 6
|
RM 146,000
|
RM 295
|
495 sqft
|
|
LC Flat |
|
Level 4
|
RM 180,000
|
RM 360
|
500 sqft
|
|
LC Flat |
|
Level 4
|
RM 300,000
|
RM 442
|
678 sqft
|
|
|
|
Level 2
|
RM 250,000
|
RM 363
|
689 sqft
|
|
|
|
Level 3
|
RM 250,000
|
RM 369
|
678 sqft
|
|
|
|
Level 9
|
RM 295,000
|
RM 422
|
700 sqft
|
|
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Market Snapshot
ResidentialRM 190,000
RM 361 psfMedian transaction price
Jalan, Kampung Perlis, 11900 Bayan Lepas, Pulau Pinang, Malaysia
MapsHalaman Murni in Barat Daya, Penang recorded 10 subsale transactions between 2021 and 2026, priced up to RM 300K, with a median price of RM 190K and a median price per square foot (PSF) of RM 361.
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 190K, with most transactions falling within a stable range of RM 128K to RM 252K, and a typical market range of RM 123K to RM 258K.
Most transactions involved flats, though some variety exists in the market.
The median PSF stands at RM 361, with core pricing between RM 301 and RM 422. Market pricing typically extends from RM 301.71 to RM 421.21, reflecting moderate variation in unit pricing. The spread of RM 119.50 (IQR) and deviation of RM 61 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.