| Road | Price | PSF | Size | Date | Type |
|---|
|
Lintang Pondok Upeh 3
|
RM803,000
|
RM301
|
2,669 sqft
|
|
|
Lorong Pondok Upih 1
|
RM900,000
|
RM298
|
3,025 sqft
|
|
Posts about Taman Nyaman Indah
No posts about Taman Nyaman Indah yet. Be the first to share what’s happening here.
Nearby areas in 6
Taman Sri Indah (B.pulau)
Taman Pondok Upeh
Taman Nyaman Indah
Taman Balik Pulau (Fokus Estate Sdn. Bhd
Villa Pondok Upeh
Taman Sri Genting
Taman Sri Sayang
The Loft 23 (Harmoni Genting)
Pusat Bayan
Taman Sri Kristal
Taman Kampungku
Jade Garden
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 6
Market Snapshot
ResidentialRM851,500
RM299 psfMedian transaction price
6, Pulau Pinang, Malaysia
MapsTaman Nyaman Indah in Barat Daya, Penang recorded 2 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM852K and a median price per square foot (PSF) of RM299.
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 RM852K, with most transactions falling within a stable range of RM803K to RM900K, and a typical market range of RM803K to RM900K.
Within the Double Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.
For price per square foot, the median is RM299, with most transactions between RM298 and RM301. The usual range is RM247.18 to RM351.18, showing that most units are priced quite close to each other. With an IQR of RM104.00 and MAD of RM2, 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.