Taman Teluk Kumbar

11950 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

15 subsales grouped by size

Median
RM 155,000
PSF
RM 335
Price Size
450 sqft
LC Flat
RM 150,000
Level 5
463 sqft · RM 324 PSF
RM 130,000
Level 2
463 sqft · RM 281 PSF
RM 88,000
Level 4
463 sqft · RM 190 PSF
RM 160,000
Level 4
463 sqft · RM 346 PSF
RM 142,000
Level 1
463 sqft · RM 307 PSF
RM 160,000
Level 1
463 sqft · RM 346 PSF
+9 more
Legend Recent Highest Price Highest PSF

Auction Properties

1 auction properties in Taman Teluk Kumbar

No. 2-2-1,, Lintang Sungai Batu, Taman Teluk Kumbar, 11920, Bayan Lepas, Pulau Pinang
Type Reserve Price Flat RM 112,995
PSF Size Auction Date RM 244.05 463 sqft 04 Jun 2026

Market Snapshot

Residential

RM 155,000

RM 335 psf

Median transaction price

Taman Teluk Kumbar
© OpenStreetMap · CARTO

Taman Teluk Kumbar, 11950 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Taman Teluk Kumbar in Barat Daya, Penang recorded 15 subsale transactions in 2023, with a median price of RM 155K and a median price per square foot (PSF) of RM 335.

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 155K, with most transactions falling within a stable range of RM 127K to RM 183K, and a typical market range of RM 135K to RM 175K.

Most transactions involved low-cost flat, with minimal variety in property types.

The median PSF stands at RM 335, with core pricing between RM 274 and RM 396. Market pricing typically extends from RM 291.88 to RM 377.88, reflecting moderate variation in unit pricing. The spread of RM 86.00 (IQR) and deviation of RM 61 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.