| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 60,000
|
RM 107
|
560 sqft
|
|
|
|
Level 9
|
RM 33,000
|
RM 59
|
560 sqft
|
|
|
|
Level 20
|
RM 40,000
|
RM 71
|
560 sqft
|
|
|
|
Level 10
|
RM 36,000
|
RM 64
|
560 sqft
|
|
|
|
Level 19
|
RM 80,000
|
RM 143
|
560 sqft
|
|
|
Level 1
|
RM 50,000
|
RM 84
|
592 sqft
|
|
|
|
Level 17
|
RM 45,000
|
RM 76
|
592 sqft
|
|
|
|
Level 1
|
RM 51,000
|
RM 86
|
592 sqft
|
|
|
|
Level 7
|
RM 25,000
|
RM 42
|
592 sqft
|
|
|
|
Level 20
|
RM 35,000
|
RM 59
|
592 sqft
|
|
Posts about Taman Teluk Indah
No posts about Taman Teluk Indah yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 42,500
RM 74 psfMedian transaction price
Jalan Perai Jaya 6, Taman Teluk Indah, 13700 Perai, Pulau Pinang, Malaysia
MapsTaman Teluk Indah in Seberang Perai Tengah, Penang recorded 10 subsale transactions in 2024, with a median price of RM 43K and a median price per square foot (PSF) of RM 74.
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 43K, with most transactions falling within a stable range of RM 27K to RM 58K, and a typical market range of RM 33K to RM 53K.
Most transactions involved low-cost flat, with minimal variety in property types.
Price per square foot shows a median of RM 74, though individual units vary from RM 47 to RM 101 in the core range. The broader market spans RM 58.74 to RM 88.74, indicating diverse property characteristics. A wider spread (IQR: RM 30.00) and deviation (MAD: RM 27) indicate significant PSF variations, likely due to diverse property types or conditions.
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.