Rumah Pangsa Kos Rendah(Kejora)
Cangkat Bukit Belah 4, Teluk Kumbar Heights, 11950 Bayan Lepas, Pulau Pinang, Malaysia
Cangkat Bukit Belah 4, Teluk Kumbar Heights, 11950 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 18
|
RM 240,000
|
RM 372
|
646 sqft
|
|
|
|
Level 13
|
RM 230,000
|
RM 356
|
646 sqft
|
|
|
|
Level 4
|
RM 210,000
|
RM 325
|
646 sqft
|
|
|
|
Level 7
|
RM 250,000
|
RM 387
|
646 sqft
|
|
|
|
Level 21
|
RM 205,000
|
RM 317
|
646 sqft
|
|
|
|
Level 2
|
RM 300,000
|
RM 465
|
646 sqft
|
|
Posts about Rumah Pangsa Kos Rendah(Kejora)
No posts about Rumah Pangsa Kos Rendah(Kejora) yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 235,000
RM 364 psfMedian transaction price
Cangkat Bukit Belah 4, Teluk Kumbar Heights, 11950 Bayan Lepas, Pulau Pinang, Malaysia
MapsRumah Pangsa Kos Rendah(Kejora) in Barat Daya, Penang recorded 6 subsale transactions in 2025, with a median price of RM 235K and a median price per square foot (PSF) of RM 364.
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 235K, with most transactions falling within a stable range of RM 205K to RM 266K, and a typical market range of RM 223K to RM 248K.
Most transactions involved low-cost flat, with minimal variety in property types.
The median PSF stands at RM 364, with core pricing between RM 315 and RM 413. Market pricing typically extends from RM 345.00 to RM 383.00, reflecting moderate variation in unit pricing. With an IQR of RM 38.00 and MAD of RM 49, the PSF demonstrates reasonable consistency across the market.
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.