Taman Valdor Permai

Sungai Bakap, 14200 Sungai Jawi, Penang, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 641,500
PSF
RM 218
Price Size
Period
transactions middle 50% (P25–P75)
2,450 sqft
Semi-D
RM 530,000
Lorong Valdor Permai 3
2,433 sqft · RM 218 PSF
2,500 sqft
Semi-D
RM 613,000
Lorong Valdor Permai 2
2,508 sqft · RM 244 PSF
3,650 sqft
Semi-D
RM 800,000
Lorong Valdor Permai 2
3,660 sqft · RM 219 PSF
3,950 sqft
Semi-D
RM 670,000
Lorong Valdor Permai 3
3,929 sqft · RM 171 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Valdor Permai

What’s happening in Taman Valdor Permai?

No posts about Taman Valdor Permai yet. Be the first to share what’s happening here.

Loading map...

Taman Valdor Permai, Sungai Bakap, 14200 Sungai Jawi, Penang, Malaysia

Maps

Taman Valdor Permai in Seberang Perai Selatan, Penang recorded 4 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 642K and a median price per square foot (PSF) of RM 218.

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 642K, with most transactions falling within a stable range of RM 543K to RM 740K, and a typical market range of RM 608K to RM 675K.

Within the Double Storey Semi-D category, 2 - 2 1/2 storey semi-detached dominated the market, though some variety exists in the market.

The median PSF stands at RM 218, with core pricing between RM 192 and RM 245. Market pricing typically extends from RM 208.23 to RM 228.23, reflecting moderate variation in unit pricing. With an IQR of RM 20.00 and MAD of RM 27, 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.