Taman Titi Heights
11000 Balik Pulau, Pulau Pinang, Malaysia
11000 Balik Pulau, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Chai
|
RM 546,000
|
RM 352
|
1,550 sqft
|
|
|
|
Solok Titi Teras 2
|
RM 580,000
|
RM 374
|
1,550 sqft
|
|
|
Solok Titi Teras 1
|
RM 525,000
|
RM 301
|
1,744 sqft
|
|
|
|
Tingkat Titi Teras 5
|
RM 580,000
|
RM 333
|
1,744 sqft
|
|
|
Tingkat Titi Teras 5
|
RM 750,000
|
RM 415
|
1,808 sqft
|
|
|
|
Tingkat Titi Teras 7
|
RM 756,000
|
RM 418
|
1,808 sqft
|
|
|
|
Tingkat Titi Teras 7
|
RM 756,000
|
RM 418
|
1,808 sqft
|
|
|
|
Tingkat Titi Teras 7
|
RM 756,000
|
RM 418
|
1,808 sqft
|
|
|
|
Tingkat Titi Teras 7
|
RM 775,000
|
RM 429
|
1,808 sqft
|
|
|
|
Tingkat Titi Teras 7
|
RM 756,000
|
RM 418
|
1,808 sqft
|
|
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Market Snapshot
ResidentialRM 753,000
RM 416 psfMedian transaction price
Taman Titi Heights, 11000 Balik Pulau, Pulau Pinang, Malaysia
MapsTaman Titi Heights in Barat Daya, Penang recorded 10 subsale transactions between 2021 and 2026, with a median price of RM 753K and a median price per square foot (PSF) of RM 416.
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 753K, with most transactions falling within a stable range of RM 654K to RM 775K, and a typical market range of RM 637K to RM 775K.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
The median PSF stands at RM 416, with core pricing between RM 374 and RM 459. Market pricing typically extends from RM 332.40 to RM 500.40, reflecting moderate variation in unit pricing. With an IQR of RM 168.00 and MAD of RM 43, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.